AI Engineering Lead

As the AI Engineering Lead you will architect build and scale AI-powered solutions that accelerate both the delivery of Integrated Services Data AI & Analytics (ISDAIA) products and the adoption of AI capabilities across the Integrated Services business.

You will lead the development of enterprise-grade AI applications agentic systems copilots retrieval-augmented generation (RAG) solutions and intelligent workflow automation that transform how teams discover insights make decisions and deliver value.

This role combines hands-on technical leadership with product thinking and strategic execution. You will partner closely with Product Managers Engineering Teams Analytics Leaders and Business Stakeholders to identify high-value use cases develop reusable AI capabilities and enable responsible AI adoption at scale.

You will play a key role in shaping the future AI ecosystem for Integrated Services by building scalable frameworks shared services and AI-enabled experiences that improve business outcomes operational efficiency and speed to delivery.

Strategic Thinking & Leadership

• Partner with business leaders and product teams to identify high-value AI opportunities and translate them into scalable AI-powered solutions.

• Define and communicate AI solution vision roadmaps and measurable success metrics.

• Drive AI strategy across Generative AI Agentic AI conversational experiences AI-enabled analytics and intelligent automation initiatives.

• Establish governance frameworks for Responsible AI security compliance scalability and enterprise adoption.

• Lead cross-functional AI programs and influence executive stakeholders through compelling business cases demonstrations and measurable outcomes.

Technical Leadership & Expertise

• Architect and oversee end-to-end AI solutions including:

  • Conversational AI and Copilot experiences

  • Retrieval-Augmented Generation (RAG) architectures

  • Agentic AI frameworks and multi-agent orchestration systems

  • AI-powered analytics and insight generation solutions

  • Natural language interfaces for analytics and business intelligence

  • Intelligent workflow automation and decision-support capabilities

  • Semantic search and enterprise knowledge management solutions

• Strong proficiency in Google Cloud Platform (GCP) services for AI development (Vertex AI BigQuery Cloud Storage Dataflow).

• Experience designing and deploying enterprise AI solutions leveraging Large Language Models (LLMs) foundation models prompt engineering and model evaluation frameworks.

• Experience building AI systems using Python-based ecosystems and modern AI frameworks.

• Experience with vector databases embeddings semantic search grounding techniques and retrieval architectures.

• Implement scalable AI Engineering MLOps and LLMOps practices including CI/CD prompt versioning testing governance monitoring and lifecycle management.

• Proficiency in Git Docker API-based deployments cloud-native architectures and scalable AI services.

• Apply strong software engineering practices including modular design testing observability security and documentation.

• Establish reusable AI frameworks accelerators and engineering patterns that improve speed consistency and quality of delivery.

• Evaluate emerging AI technologies and identify opportunities to accelerate analytics delivery and business adoption.

• Support architectural reviews and ensure best practices across AI systems platforms and products.

• Implement Responsible AI principles including governance explainability privacy security and ethical AI compliance.

Delivery Focus

• Own end-to-end AI solution delivery in partnership with Product Engineering Data and Business teams.

• Ensure production-grade deployment of AI applications copilots and agent-based solutions using containerization orchestration and scalable cloud infrastructure.

• Build reusable AI accelerators frameworks and services that improve speed-to-delivery across the ISDAIA portfolio.

• Partner with product teams to embed AI capabilities directly into dashboards self-service analytics platforms applications and business workflows.

• Influence investment decisions using measurable business impact adoption metrics operational efficiencies and ROI analysis.

• Establish monitoring frameworks for AI performance solution effectiveness reliability governance and user adoption.

Team Development & Community Leadership

• Lead and mentor AI engineers while establishing best practices for enterprise AI development.

• Build AI engineering standards reusable frameworks shared tooling libraries and delivery patterns across ISDAIA.

• Promote knowledge sharing through Communities of Practice and AI Centers of Excellence.

• Foster a culture of experimentation continuous learning innovation and engineering excellence.

• Support talent development in emerging AI disciplines including Generative AI Agentic AI conversational experiences and intelligent automation.

• Serve as a thought leader for enterprise AI adoption and AI-enabled transformation initiatives.

Minimum Requirements

• Bachelors Degree in a related field (Computer Science Artificial Intelligence Data Science Engineering Information Technology or equivalent).

• 5 to 8 years of experience delivering enterprise software analytics data or AI solutions.

• 5 years of experience using Python-based development technologies and modern software engineering practices.

• 3 years of experience designing deploying and supporting AI/ML or Generative AI solutions in production environments.

• Experience building and deploying Generative AI conversational AI Copilot or agent-based solutions.

• Experience acting as a senior technical lead facilitating solution trade-offs and architectural decisions.

• Experience using Cloud AI Platforms (GCP preferred).

• Strong understanding of APIs cloud-native architectures CI/CD pipelines and enterprise application development.

• Hands-on experience with Generative AI technologies Retrieval-Augmented Generation (RAG) and enterprise AI deployment.

Preferred Requirements

• Masters Degree in Artificial Intelligence Computer Science Data Science Engineering or related field.

• Experience managing and growing high-performing AI engineering teams.

• Experience developing enterprise copilots AI assistants agent-based systems and intelligent automation solutions.

• Experience implementing Retrieval-Augmented Generation (RAG) architectures vector databases semantic search and knowledge-grounding strategies.

• Strong working knowledge of GCP and enterprise AI architecture patterns.

• Expertise in open-source technologies such as Python LangChain LangGraph Semantic Kernel SQL Spark and modern AI development frameworks.

• Experience working with Vertex AI OpenAI Anthropic Gemini or comparable enterprise AI ecosystems.

• Experience building reusable AI platforms accelerators frameworks and enablement capabilities.

• Experience deploying AI solutions into business workflows analytics products self-service insights platforms or decision-support solutions.

• Experience implementing Responsible AI AI governance MLOps and LLMOps practices at enterprise scale.

• Immediate medical dental vision and prescription drug coverage

• Flexible family care days paid parental leave new parent ramp-up programs subsidized back-up child care and more

• Family building benefits including adoption and surrogacy expense reimbursement fertility treatments and more

• Vehicle discount program for employees and family members and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays including the week between Christmas and New Years Day

• Paid time off and the option to purchase additional vacation time