Principal AI Engineer, Agentic Models and Data Platforms

Job Description

The Principal position will be responsible for leading and delivering key AI/Agentic initiatives under the AI Reuse Development Portfolio. The ideal candidate would leverage their extensive software engineering experience in designing and implementing of such initiatives from the ground up, while also successfully navigating through the org through active stakeholder engagement.

What will you do?

• Architect and implement agentic systems, including tool using agents, workflow orchestrators, and multi step reasoning pipelines that reliably execute business tasks.
• Design and deliver Retrieval Augmented Generation solutions, including document ingestion, chunking, indexing, vector search, hybrid search, reranking, and grounding strategies over curated data products.
• Build evaluation harnesses and quality gates, including offline test sets, golden datasets, regression suites, and metrics for factuality, safety, latency, cost, and business outcomes.
• Implement observability for AI systems, including tracing across prompts and tool calls, telemetry, drift detection, and runbooks for production operations
• Lead the build of batch and real time data pipelines, including inbound, outbound, and event driven flows that power analytics and AI use cases.
• Design governed data products with clear contracts, documentation, lineage, and SLAs, enabling consistent consumption across domains.
• Establish high quality ingestion, transformation, and serving patterns using lakehouse and warehouse paradigms, plus streaming where appropriate.
• Partner with data stewards and domain teams to define data standards, quality controls, and metadata that ensure trust and reusability
• Design and build backend services and APIs that expose data products, agent capabilities, and AI workflows as reliable, secure services.
• Apply rigorous engineering practices, including code quality, automated testing, CI/CD, performance engineering, and secure by default design.
• Build scalable runtime patterns for AI systems, including caching, rate limiting, concurrency control, idempotency, and graceful degradation.
• Contribute to reference architectures, reusable libraries, and platform components that accelerate delivery across teams.

Must Have:

• Bachelor’s degree in computer science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.
• 10+ years of professional software engineering experience with strong Python and SQL, Spark and Databricks SQL are a plus.
• Demonstrated experience designing and operating scalable backend architectures, including schema design, dimensional modeling, and data lifecycle management.
• Strong knowledge of algorithms and data structures, plus systems engineering fundamentals, reliability, performance, and debugging.
• Hands on experience with data engineering platforms and tools, commonly including Python, PySpark, Databricks, Airflow, Kafka, Snowflake, and modern data integration patterns.
• Experience building production services and APIs, including service design, authentication and authorization, and integration patterns, Node.js and Apigee are a plus.
• Practical experience delivering AI powered systems, including one or more of:
  • RAG systems and vector search, embeddings, reranking, and grounding strategies
  • LLM application development, structured outputs, prompt and tool calling, orchestration patterns
  • AI evaluation, test harnesses, regression testing, and lifecycle management for prompts and models
  • Observability for AI systems, tracing, monitoring, alerting, and cost controls

• Working knowledge of security and identity frameworks such as OAuth 2.0, LDAP, Kerberos, and Vault integration, with experience operating in regulated environments.
   

Nice to have:

• Master’s degree in computer science or equivalent experience.
• Experience with agent frameworks and workflow patterns, such as graph based orchestration, tool routing, plan and execute loops, and human in the loop designs.
• MLOps and LLMOps experience, including CI/CD for ML and LLM applications, model registries, feature stores, experiment tracking, and safe rollout patterns
• Automation and DevOps experience, such as GitHub Actions, infrastructure as code, and automated QA.
• Experience working in Agile or SAFe environments.
• Experience with frontend or portal integration for AI experiences, for example Angular based portals, analytics integration, or enterprise enablement tooling.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high-performing team.
• A world-class training program in financial services
• Opportunities to do challenging work.

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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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