Job Description Summary

Job Description

Roles & Responsibilities

• Define and drive enterprise AI architecture strategy across multiple business domains and AI initiatives.
• Architect scalable reusable and secure AI/GenAI solution patterns for enterprise adoption.
• Lead solution design for Generative AI/ Physical AI/ Vision AI applications including RAG pipelines agentic workflows AI copilots document intelligence and enterprise search.
• Establish enterprise standards for:
  • Model selection and orchestration
  • Prompt engineering and prompt management
  • Chunking and embedding strategies
  • Hybrid retrieval approaches
  • Vector database integration
  • Agentic orchestration frameworks
  • AI observability evaluation and monitoring
• Guide teams on advanced retrieval architectures semantic search non-sequential document understanding and contextual information extraction.
• Design reusable AI services and accelerators that can be leveraged across multiple use cases and business units.
• Collaborate with enterprise platform cloud data and cybersecurity teams to ensure AI solutions align with enterprise architecture and governance standards.
• Standardize integration patterns with enterprise systems including data lakes ERP systems workflow platforms and operational applications.
• Drive architectural decisions balancing scalability maintainability performance security and cost efficiency.
• Define enterprise AI evaluation frameworks covering accuracy hallucination tracking latency reliability and operational KPIs.
• Influence AI platform roadmap and foundational AI services by providing architectural guidance and identifying capability gaps.
• Conduct architecture reviews and provide technical leadership for critical AI programs and production deployments.
• Partner with engineering and product teams to accelerate AI solution delivery through reusable frameworks and best practices.
• Mentor and upskill engineering teams on enterprise AI architecture patterns GenAI best practices and emerging AI technologies.
• Stay current with evolving AI ecosystem trends frameworks foundation models and enterprise AI architectural practices.

Educational Qualification

• Bachelors degree in Computer Science Information Technology Engineering or related technical discipline from an accredited institution.
• Masters degree in Computer Science Artificial Intelligence Data Science or related field is preferred.

Desired Characteristics

• 12 years of experience in enterprise software architecture platform engineering or digital technology leadership roles.
• 5 years of experience in AI/ML solution architecture with strong focus on enterprise AI and Generative AI systems.
• Strong expertise in:
  • Generative AI and LLM-based solution architecture
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI frameworks and orchestration
  • Prompt engineering and evaluation techniques
  • Vector databases and semantic retrieval systems
  • AI observability and evaluation frameworks
• Experience designing enterprise-scale AI platforms on major cloud providers such as Amazon Web Services / Microsoft Azure
• Strong understanding of enterprise data architecture APIs integration patterns and distributed systems.
• Experience integrating AI solutions with enterprise platforms such as Databricks ERP systems document repositories and operational systems.
• Familiarity with modern AI/ML frameworks and orchestration technologies such as LangChain LangGraph Semantic Kernel or equivalent frameworks.
• Strong understanding of AI governance security responsible AI and enterprise compliance considerations.
• Demonstrated ability to influence technical strategy and drive alignment across cross-functional engineering and business teams.
• Excellent communication stakeholder management and executive presentation skills.
• Ability to operate effectively in fast-paced highly collaborative and ambiguous environments.
• Strong problem-solving mindset with the ability to balance innovation with pragmatic enterprise delivery considerations.

Additional Information