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Hewlett Packard Enterprise Logo Hewlett Packard Enterprise · IT - Software Development

Senior AI & Data Engineer

India, Bengaluru · Job Posted May 29, 2026
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Job Description

The Senior AI & Data Engineer is an individual contributor role that acts as the technical subject matter expert at the intersection of AI engineering and data engineering. This is a uniquely dual-domain role: the successful candidate bridges the organization's data strategy with its AI agenda, ensuring that intelligent systems are built on a foundation of governed, high-quality, well-architected data.

Job Responsibility

  • Serve as the dual AI & data SME for the team and organization
  • Define and uphold engineering standards, design patterns, and best practices across both AI and data engineering disciplines
  • Lead technical discovery for new AI and data use cases
  • Participate in and lead cross-functional initiatives where AI and data strategy intersect
  • Mentor and upskill the Applied AI Engineer and AI Data Engineer
  • Architect and deliver complex agentic AI systems
  • Design and implement advanced RAG architectures
  • Lead LLM evaluation frameworks
  • Assess and implement LLM fine-tuning and alignment strategies
  • Own LLM integration architecture
  • Lead the full ML lifecycle
  • Develop advanced ML solutions across NLP, time-series forecasting, anomaly detection, recommendation, and classification/regression domains
  • Design and implement MLOps pipelines
  • Apply statistical rigour
  • Ensure explainability and fairness assessments
  • Architect end-to-end AI solutions
  • Define data contracts and interface specifications
  • Design for scale, reliability, and cost
  • Evaluate and recommend AI frameworks, platforms, and tooling
  • Architect data transformations and ingestion methods for AI products
  • Define and enforce data engineering standards
  • Design advanced transformation patterns
  • Implement automated data quality validation
  • Champion a data-as-a-product mindset
  • Provide technical leadership for AI-augmented RPA implementations
  • Define AI metrics and KPIs for dashboards
  • Identify automation opportunities
  • Develop quick PoC's
  • Continuously evaluate emerging research, models, and frameworks
  • Present technical findings and recommendations
  • Contribute to internal AI community of practice

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, Mathematics, or a related technical discipline
  • PhD is a plus
  • 7 – 10 years of hands-on experience in AI/ML engineering, applied data science, or LLM engineering roles
  • Proven track record of delivering production AI systems
  • Deep expertise with at least two major LLM platforms (Claude, GPT, Gemini, or equivalent)
  • Significant experience with Collibra or an equivalent enterprise data governance platform
  • Demonstrated experience leading cross-functional AI initiatives and mentoring junior engineers
  • Strong ML fundamentals alongside modern generative AI skills
  • Experience with responsible AI practices, including fairness auditing, explainability, and content safety, is strongly preferred

Nice to have

  • Accountability
  • Action Planning
  • Active Learning
  • Active Listening
  • Agile Methodology
  • Agile Scrum Development
  • Analytical Thinking
  • Bias
  • Coaching
  • Creativity
  • Critical Thinking
  • Cross-Functional Teamwork
  • Data Analysis Management
  • Data Collection Management (Inactive)
  • Data Controls
  • Design
  • Design Thinking
  • Empathy
  • Follow-Through
  • Group Problem Solving
  • Growth Mindset
  • Intellectual Curiosity (Inactive)
  • Long Term Planning
  • Managing Ambiguity

What we offer

  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
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