We are building an AI Research & Applied Science capability to translate frontier AI research into real world, high impact systems. This role plays a foundational part in defining that capability.
As Principal, AI Research & Applied Science, you will be a senior technical authority responsible for shaping applied AI research direction, advancing new approaches, and ensuring that strong ideas move beyond theory into deployed, measurable outcomes.
This is not a delivery or execution only role. It is a hands on, research led position for a senior individual contributor who thrives at the intersection of deep technical work and real world impact.
You will operate with significant autonomy, influencing strategy through technical leadership, mentorship, and close partnership with engineering, product, and business teams.
What You Will Do:
Act as a senior technical authority for applied AI research across the organisation.Define and advance core research themes, methodologies, and technical approaches in alignment with broader AI direction.Lead applied research efforts to design new algorithms, models, and data driven systems across multiple AI domains.Translate complex business and operational challenges into mathematical formulations, machine learning systems, or optimisation frameworks.Design, build, and rigorously evaluate production ready AI solutions.Rapidly prototype and test new ideas to validate technical and business value early.Partner closely with engineering and product teams to guide research ideas into scalable, deployed systems.Stay current with advances in AI research and selectively introduce the most relevant breakthroughs into the organisation.Drive exploration of frontier approaches such as causal AI and neuro symbolic AI to deliver more interpretable, robust, and generalisable systems.Mentor senior researchers and engineers, raising the overall technical bar through example, critique, and guidance.Contribute to external visibility through publications, academic or industry collaborations, and participation in leading AI and ML forums.Ideal Background:
Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative discipline.Deep, hands on experience in AI, machine learning, or applied research.Demonstrated ability to lead technically complex initiatives without relying on formal line management.Proven track record of designing and deploying AI systems that delivered meaningful, real world outcomes.Broad technical depth across modern AI domains such as large language models, optimisation and decision science, causal methods, speech or audio AI, or neuro symbolic approaches.Strong analytical judgement and a principled approach to system design, evaluation, and trade off analysis.Comfort working in regulated or high governance environments while maintaining research velocity.Research output such as conference papers, workshops, or recognised pre prints is a strong advantage.Why This Role
Operate as a Principal level technical leader with real influence over AI direction.Work on frontier, applied AI problems with a direct line to deployment and impact.Shape systems and methods that matter at scale-not just prototypes or papers.Collaborate with senior engineers, researchers, and leaders in a technically ambitious environment. Read LessWe are building an AI Research & Applied Science capability to translate frontier AI research into real world, high impact systems. This role plays a foundational part in defining that capability.
As Principal, AI Research & Applied Science, you will be a senior technical authority responsible for shaping applied AI research direction, advancing new approaches, and ensuring that strong ideas move beyond theory into deployed, measurable outcomes.
This is not a delivery or execution only role. It is a hands on, research led position for a senior individual contributor who thrives at the intersection of deep technical work and real world impact.
You will operate with significant autonomy, influencing strategy through technical leadership, mentorship, and close partnership with engineering, product, and business teams.
What You Will Do:
Act as a senior technical authority for applied AI research across the organisation.Define and advance core research themes, methodologies, and technical approaches in alignment with broader AI direction.Lead applied research efforts to design new algorithms, models, and data driven systems across multiple AI domains.Translate complex business and operational challenges into mathematical formulations, machine learning systems, or optimisation frameworks.Design, build, and rigorously evaluate production ready AI solutions.Rapidly prototype and test new ideas to validate technical and business value early.Partner closely with engineering and product teams to guide research ideas into scalable, deployed systems.Stay current with advances in AI research and selectively introduce the most relevant breakthroughs into the organisation.Drive exploration of frontier approaches such as causal AI and neuro symbolic AI to deliver more interpretable, robust, and generalisable systems.Mentor senior researchers and engineers, raising the overall technical bar through example, critique, and guidance.Contribute to external visibility through publications, academic or industry collaborations, and participation in leading AI and ML forums.Ideal Background:
Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative discipline.Deep, hands on experience in AI, machine learning, or applied research.Demonstrated ability to lead technically complex initiatives without relying on formal line management.Proven track record of designing and deploying AI systems that delivered meaningful, real world outcomes.Broad technical depth across modern AI domains such as large language models, optimisation and decision science, causal methods, speech or audio AI, or neuro symbolic approaches.Strong analytical judgement and a principled approach to system design, evaluation, and trade off analysis.Comfort working in regulated or high governance environments while maintaining research velocity.Research output such as conference papers, workshops, or recognised pre prints is a strong advantage.Why This Role
Operate as a Principal level technical leader with real influence over AI direction.Work on frontier, applied AI problems with a direct line to deployment and impact.Shape systems and methods that matter at scale-not just prototypes or papers.Collaborate with senior engineers, researchers, and leaders in a technically ambitious environment. Read LessWe are building an AI Research & Applied Science capability to translate frontier AI research into real world, high impact systems. This role plays a foundational part in defining that capability.
As Principal, AI Research & Applied Science, you will be a senior technical authority responsible for shaping applied AI research direction, advancing new approaches, and ensuring that strong ideas move beyond theory into deployed, measurable outcomes.
This is not a delivery or execution only role. It is a hands on, research led position for a senior individual contributor who thrives at the intersection of deep technical work and real world impact.
You will operate with significant autonomy, influencing strategy through technical leadership, mentorship, and close partnership with engineering, product, and business teams.
What You Will Do:
Act as a senior technical authority for applied AI research across the organisation.Define and advance core research themes, methodologies, and technical approaches in alignment with broader AI direction.Lead applied research efforts to design new algorithms, models, and data driven systems across multiple AI domains.Translate complex business and operational challenges into mathematical formulations, machine learning systems, or optimisation frameworks.Design, build, and rigorously evaluate production ready AI solutions.Rapidly prototype and test new ideas to validate technical and business value early.Partner closely with engineering and product teams to guide research ideas into scalable, deployed systems.Stay current with advances in AI research and selectively introduce the most relevant breakthroughs into the organisation.Drive exploration of frontier approaches such as causal AI and neuro symbolic AI to deliver more interpretable, robust, and generalisable systems.Mentor senior researchers and engineers, raising the overall technical bar through example, critique, and guidance.Contribute to external visibility through publications, academic or industry collaborations, and participation in leading AI and ML forums.Ideal Background:
Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative discipline.Deep, hands on experience in AI, machine learning, or applied research.Demonstrated ability to lead technically complex initiatives without relying on formal line management.Proven track record of designing and deploying AI systems that delivered meaningful, real world outcomes.Broad technical depth across modern AI domains such as large language models, optimisation and decision science, causal methods, speech or audio AI, or neuro symbolic approaches.Strong analytical judgement and a principled approach to system design, evaluation, and trade off analysis.Comfort working in regulated or high governance environments while maintaining research velocity.Research output such as conference papers, workshops, or recognised pre prints is a strong advantage.Why This Role
Operate as a Principal level technical leader with real influence over AI direction.Work on frontier, applied AI problems with a direct line to deployment and impact.Shape systems and methods that matter at scale-not just prototypes or papers.Collaborate with senior engineers, researchers, and leaders in a technically ambitious environment. Read LessWe are building an AI Research & Applied Science capability to translate frontier AI research into real world, high impact systems. This role plays a foundational part in defining that capability.
As Principal, AI Research & Applied Science, you will be a senior technical authority responsible for shaping applied AI research direction, advancing new approaches, and ensuring that strong ideas move beyond theory into deployed, measurable outcomes.
This is not a delivery or execution only role. It is a hands on, research led position for a senior individual contributor who thrives at the intersection of deep technical work and real world impact.
You will operate with significant autonomy, influencing strategy through technical leadership, mentorship, and close partnership with engineering, product, and business teams.
What You Will Do:
Act as a senior technical authority for applied AI research across the organisation.Define and advance core research themes, methodologies, and technical approaches in alignment with broader AI direction.Lead applied research efforts to design new algorithms, models, and data driven systems across multiple AI domains.Translate complex business and operational challenges into mathematical formulations, machine learning systems, or optimisation frameworks.Design, build, and rigorously evaluate production ready AI solutions.Rapidly prototype and test new ideas to validate technical and business value early.Partner closely with engineering and product teams to guide research ideas into scalable, deployed systems.Stay current with advances in AI research and selectively introduce the most relevant breakthroughs into the organisation.Drive exploration of frontier approaches such as causal AI and neuro symbolic AI to deliver more interpretable, robust, and generalisable systems.Mentor senior researchers and engineers, raising the overall technical bar through example, critique, and guidance.Contribute to external visibility through publications, academic or industry collaborations, and participation in leading AI and ML forums.Ideal Background:
Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative discipline.Deep, hands on experience in AI, machine learning, or applied research.Demonstrated ability to lead technically complex initiatives without relying on formal line management.Proven track record of designing and deploying AI systems that delivered meaningful, real world outcomes.Broad technical depth across modern AI domains such as large language models, optimisation and decision science, causal methods, speech or audio AI, or neuro symbolic approaches.Strong analytical judgement and a principled approach to system design, evaluation, and trade off analysis.Comfort working in regulated or high governance environments while maintaining research velocity.Research output such as conference papers, workshops, or recognised pre prints is a strong advantage.Why This Role
Operate as a Principal level technical leader with real influence over AI direction.Work on frontier, applied AI problems with a direct line to deployment and impact.Shape systems and methods that matter at scale-not just prototypes or papers.Collaborate with senior engineers, researchers, and leaders in a technically ambitious environment. Read LessWe are building an AI Research & Applied Science capability to translate frontier AI research into real world, high impact systems. This role plays a foundational part in defining that capability.
As Principal, AI Research & Applied Science, you will be a senior technical authority responsible for shaping applied AI research direction, advancing new approaches, and ensuring that strong ideas move beyond theory into deployed, measurable outcomes.
This is not a delivery or execution only role. It is a hands on, research led position for a senior individual contributor who thrives at the intersection of deep technical work and real world impact.
You will operate with significant autonomy, influencing strategy through technical leadership, mentorship, and close partnership with engineering, product, and business teams.
What You Will Do:
Act as a senior technical authority for applied AI research across the organisation.Define and advance core research themes, methodologies, and technical approaches in alignment with broader AI direction.Lead applied research efforts to design new algorithms, models, and data driven systems across multiple AI domains.Translate complex business and operational challenges into mathematical formulations, machine learning systems, or optimisation frameworks.Design, build, and rigorously evaluate production ready AI solutions.Rapidly prototype and test new ideas to validate technical and business value early.Partner closely with engineering and product teams to guide research ideas into scalable, deployed systems.Stay current with advances in AI research and selectively introduce the most relevant breakthroughs into the organisation.Drive exploration of frontier approaches such as causal AI and neuro symbolic AI to deliver more interpretable, robust, and generalisable systems.Mentor senior researchers and engineers, raising the overall technical bar through example, critique, and guidance.Contribute to external visibility through publications, academic or industry collaborations, and participation in leading AI and ML forums.Ideal Background:
Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative discipline.Deep, hands on experience in AI, machine learning, or applied research.Demonstrated ability to lead technically complex initiatives without relying on formal line management.Proven track record of designing and deploying AI systems that delivered meaningful, real world outcomes.Broad technical depth across modern AI domains such as large language models, optimisation and decision science, causal methods, speech or audio AI, or neuro symbolic approaches.Strong analytical judgement and a principled approach to system design, evaluation, and trade off analysis.Comfort working in regulated or high governance environments while maintaining research velocity.Research output such as conference papers, workshops, or recognised pre prints is a strong advantage.Why This Role
Operate as a Principal level technical leader with real influence over AI direction.Work on frontier, applied AI problems with a direct line to deployment and impact.Shape systems and methods that matter at scale-not just prototypes or papers.Collaborate with senior engineers, researchers, and leaders in a technically ambitious environment. Read LessWe are building an AI Research & Applied Science capability to translate frontier AI research into real world, high impact systems. This role plays a foundational part in defining that capability.
As Principal, AI Research & Applied Science, you will be a senior technical authority responsible for shaping applied AI research direction, advancing new approaches, and ensuring that strong ideas move beyond theory into deployed, measurable outcomes.
This is not a delivery or execution only role. It is a hands on, research led position for a senior individual contributor who thrives at the intersection of deep technical work and real world impact.
You will operate with significant autonomy, influencing strategy through technical leadership, mentorship, and close partnership with engineering, product, and business teams.
What You Will Do:
Act as a senior technical authority for applied AI research across the organisation.Define and advance core research themes, methodologies, and technical approaches in alignment with broader AI direction.Lead applied research efforts to design new algorithms, models, and data driven systems across multiple AI domains.Translate complex business and operational challenges into mathematical formulations, machine learning systems, or optimisation frameworks.Design, build, and rigorously evaluate production ready AI solutions.Rapidly prototype and test new ideas to validate technical and business value early.Partner closely with engineering and product teams to guide research ideas into scalable, deployed systems.Stay current with advances in AI research and selectively introduce the most relevant breakthroughs into the organisation.Drive exploration of frontier approaches such as causal AI and neuro symbolic AI to deliver more interpretable, robust, and generalisable systems.Mentor senior researchers and engineers, raising the overall technical bar through example, critique, and guidance.Contribute to external visibility through publications, academic or industry collaborations, and participation in leading AI and ML forums.Ideal Background:
Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative discipline.Deep, hands on experience in AI, machine learning, or applied research.Demonstrated ability to lead technically complex initiatives without relying on formal line management.Proven track record of designing and deploying AI systems that delivered meaningful, real world outcomes.Broad technical depth across modern AI domains such as large language models, optimisation and decision science, causal methods, speech or audio AI, or neuro symbolic approaches.Strong analytical judgement and a principled approach to system design, evaluation, and trade off analysis.Comfort working in regulated or high governance environments while maintaining research velocity.Research output such as conference papers, workshops, or recognised pre prints is a strong advantage.Why This Role
Operate as a Principal level technical leader with real influence over AI direction.Work on frontier, applied AI problems with a direct line to deployment and impact.Shape systems and methods that matter at scale-not just prototypes or papers.Collaborate with senior engineers, researchers, and leaders in a technically ambitious environment. Read LessWe are building an AI Research & Applied Science capability to translate frontier AI research into real world, high impact systems. This role plays a foundational part in defining that capability.
As Principal, AI Research & Applied Science, you will be a senior technical authority responsible for shaping applied AI research direction, advancing new approaches, and ensuring that strong ideas move beyond theory into deployed, measurable outcomes.
This is not a delivery or execution only role. It is a hands on, research led position for a senior individual contributor who thrives at the intersection of deep technical work and real world impact.
You will operate with significant autonomy, influencing strategy through technical leadership, mentorship, and close partnership with engineering, product, and business teams.
What You Will Do:
Act as a senior technical authority for applied AI research across the organisation.Define and advance core research themes, methodologies, and technical approaches in alignment with broader AI direction.Lead applied research efforts to design new algorithms, models, and data driven systems across multiple AI domains.Translate complex business and operational challenges into mathematical formulations, machine learning systems, or optimisation frameworks.Design, build, and rigorously evaluate production ready AI solutions.Rapidly prototype and test new ideas to validate technical and business value early.Partner closely with engineering and product teams to guide research ideas into scalable, deployed systems.Stay current with advances in AI research and selectively introduce the most relevant breakthroughs into the organisation.Drive exploration of frontier approaches such as causal AI and neuro symbolic AI to deliver more interpretable, robust, and generalisable systems.Mentor senior researchers and engineers, raising the overall technical bar through example, critique, and guidance.Contribute to external visibility through publications, academic or industry collaborations, and participation in leading AI and ML forums.Ideal Background:
Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative discipline.Deep, hands on experience in AI, machine learning, or applied research.Demonstrated ability to lead technically complex initiatives without relying on formal line management.Proven track record of designing and deploying AI systems that delivered meaningful, real world outcomes.Broad technical depth across modern AI domains such as large language models, optimisation and decision science, causal methods, speech or audio AI, or neuro symbolic approaches.Strong analytical judgement and a principled approach to system design, evaluation, and trade off analysis.Comfort working in regulated or high governance environments while maintaining research velocity.Research output such as conference papers, workshops, or recognised pre prints is a strong advantage.Why This Role
Operate as a Principal level technical leader with real influence over AI direction.Work on frontier, applied AI problems with a direct line to deployment and impact.Shape systems and methods that matter at scale-not just prototypes or papers.Collaborate with senior engineers, researchers, and leaders in a technically ambitious environment. Read LessThe Opportunity
We are seeking a visionary Director of Security Engineering to lead our global Application and Cloud Security programs. This is a high-impact leadership role responsible for securing
Our next-generation Agentic AI platforms and our "Zero Data" enterprise ecosystem.
As we shifts from conversational AI to autonomous agents that execute multi-step business processes, the security challenge evolves from protecting data to protecting intent, execution, and identity. You will lead a world-class team of engineers distributed across the USA and India, deeply integrated with our core engineering hub in HQ to ensure security is a business accelerator, not a bottleneck.
What You Will Do (Key Responsibilities)
Set the global multi-year roadmap for Product and Cloud Security, specifically tailored to protect autonomous agent workflows, Model Context Protocols (MCP), and RAG pipelines.Design and implement runtime guardrails to prevent prompt injection, goal hijacking, and unauthorized tool-calling by autonomous agents.Oversee the security architecture for agent sandboxing and isolated execution to ensure untrusted code/tool outputs cannot compromise the host.Evolve standard VAPT into a continuous Adversarial Red Teaming program focused on LLM vulnerabilities, training data poisoning, and membership inference attacks.Drive security standards across AWS, GCP, and Azure, with a focus on enforcing "Zero Data" principles-ensuring sensitive customer data is never cached or logged within the AI cloud.Architect robust workload identity and "Agent Identity" federation to ensure agents operate with the least-privilege necessary to fulfill their specific tasks across multi-cloud environments.Enforce Infrastructure as Code (IaC) security and Cloud Security Posture Management (CSPM) to maintain a consistent security posture across global regions (North America, APJ, EMEA).Lead and scale high-performing teams in the USA and India. Bridge the gap between Palo Alto's rapid research cycles and India's engineering scale, ensuring 24/7 security coverage.Build and maintain an automated security "paved road," providing developers with self-service tools for SAST/DAST, SCA, and automated threat modeling that integrates seamlessly with CI/CD.Operationalize a Unified Control Framework (SOC 2, ISO 27001, ISO 42001, and the EU AI Act) into automated checks, moving away from manual audits toward continuous compliance.Required Qualifications
12+ years in security engineering, with 5+ years leading global teams (experience managing USA and India-based teams is highly preferred).Deep technical understanding of the OWASP Top 10 for LLMs and the unique risks of Agentic AI (e.g., insecure output handling, indirect prompt injection).Proven track record of securing distributed Python, Go, and Node.js environments at enterprise scale.Expert-level knowledge of Kubernetes (EKS/GKE/AKS), serverless security, and cross-cloud identity management.Ability to code or deeply review automation scripts (Python, Terraform, etc.) to ensure security is integrated into the developer workflow.Exceptional ability to translate "Agentic Risk" or "Technical Topics" into business impact for the executive leadership team.Proven ability to manage distributed teams and "penetrate" high-velocity engineering cultures to build lasting security partnerships.Preferred Qualifications
Demonstrated contributions to the security community are a plus.Advanced Certifications such as CISSP, CCSP, or specialized AWS/GCP Security certifications.Experience implementing the NIST AI Risk Management Framework or ISO 42001 in a production environment.Experienced with risk-based prioritization methodologies such as the Security Prioritization Framework (SPF) to align security remediation with business velocity. Read LessJob Location - Riyadh
The Head Strategic Corporate Business Development is responsible for identifying, developing, and executing cross-business growth opportunities that create new revenue streams and enhance synergies across the company's business units.
The role focuses on corporate-level strategic initiatives, new business platforms, partnerships, and investments that support long-term growth and diversification. It works closely with executive leadership to drive expansion into new sectors, services, and markets.
This is a senior, executive-track position with exposure to board-level decision making.
Core Mandate
Create new revenue lines across the group.Identify and implement cross-business synergies.Develop new strategic platforms and partnerships.Support executive leadership on corporate growth initiatives.Key Responsibilities
1) Corporate Growth Initiatives
Identify new business opportunities aligned with the company's long-term vision.Develop and launch new revenue platforms across multiple business units.Lead feasibility and commercial assessments of new corporate initiatives.Translate strategic priorities into executable business opportunities.2) Cross-Business Synergy Development
Identify opportunities to create synergies between existing business units.Develop integrated solutions that combine capabilities across divisions.Coordinate with business unit leaders to implement synergy initiatives.Track and report synergy value creation.3) New Business Line & Platform Development
Identify emerging sectors, technologies, and service models.Develop commercial models for new business lines.Lead the creation of new corporate platforms or verticals.Support the launch and early-stage growth of new ventures.4) Strategic Partnerships & Alliances
Identify and engage with global partners, technology providers, and investors.Structure strategic alliances, joint ventures, or co-development models.Support executive-level negotiations and relationship management.Ensure partnerships generate measurable revenue and strategic value.5) Strategic Investments & M&A
Identify acquisition and investment opportunities aligned with corporate growth platforms.Develop business cases, financial models, and valuation analyses.Support due diligence and transaction structuring.Assist executive leadership in investment decisions.6) Executive-Level Business Development
Support CEO and senior leadership in developing strategic client relationships.Identify long-term programs with key government and strategic clients.Position the company as a strategic partner rather than a transactional contractor.7) Corporate Opportunity Pipeline
Build and maintain a pipeline of corporate-level strategic opportunities.Prioritize initiatives based on strategic fit and financial returns.Present opportunities to executive leadership and the board.Key Performance Indicators (KPIs)
Revenue generated from new corporate business lines.Value of cross-business synergy initiatives implemented.Number and value of new strategic platforms launched.Partnerships or joint ventures executed.ROI/IRR of new corporate initiatives.Contribution of new segments to total company revenue.Qualifications
Bachelor's degree in Engineering, Finance, Business, or related field.MBA or equivalent postgraduate degree preferred.Experience
10-18 years of experience in: Corporate business development, Strategic planning and investment roles in Infrastructure, energy, industrial, or EPC sectorsProven experience in: Launching new business lines, Cross-business or corporate initiatives and Strategic partnerships or investmentsKey Competencies
Corporate-level strategic thinking.Cross-business integration and synergy development.New business platform creation.Strong commercial and financial acumen.Executive-level stakeholder management.Investment analysis and business case development.Leadership Attributes
Entrepreneurial and growth-oriented mindset.Strong executive presence and credibility.High ownership and accountability.Ability to work across multiple business units.Results-driven with strong execution focus. Read LessWe are looking for a sincere and responsible Office Assistant to handle day-to-day office and back-office work.
Key Responsibilities:
Manage routine back-office and administrative tasksDraft emails, letters, and basic documents in EnglishCoordinate with banks, government offices, and other external partiesMaintain files, records, and documentationSupport general office administration workRequirements:
Basic knowledge of MS Office (Word, Excel, Outlook)Good written English for email and letter draftingSome experience in handling bank work / government office work / company mattersPrior experience in a similar role is preferredShould be organized, reliable, and willing to learnSalary:
15,000 per monthLocation: Ludhiana
Experience: 2-3 years preferred Read Less