AI Engineer III

Description

The company needs a senior, hands-on technical lead for building, shipping and supporting agentic AI applications across the enterprise.

You will lead a team of AI Engineers, set engineering standards, help design agentic solutions, and make sure AI systems are reliable, secure and aligned with business goals.

You will work with the VP Engineering and Data Strategy on execution strategy while handling day-to-day technical delivery and support.

Responsibilities

• Lead the hands-on design, development, deployment and support of agentic AI applications, including multi-agent workflows and orchestration (25%).
• Write code, review it, support, and mentor AI Engineers and contractors on the team (15%).
• Build and ship RAG pipelines, vector search, embedding-based retrieval and LLM integration patterns for production use cases (15%).
• Design and build MCP Server integrations and tool-use frameworks that extend what agentic applications can do (10%).
• Work with the VP Engineering and Data Strategy and other stakeholders to turn AI strategy and roadmap into technical plans (10%).
• Choose and integrate AI frameworks and platforms, making sure deployed solutions scale and stay reliable and secure (10%).
• Set and enforce engineering practices, including CI/CD, testing and responsible AI guardrails for agentic systems (10%).
• Track new AI engineering trends, tools and techniques and judge how they apply to current work (5%).

Requirements

• Bachelor's degree in a technical or numerical field (required). A Master's degree is preferred.
• 8+ years of experience designing and developing software applications and/or data engineering pipelines.
• 3+ years of experience leading or giving technical direction to engineers on application or AI/ML delivery teams.
• Required: experience with LangGraph, LangChain, RAG chatbots, vector databases, NLP-based automation, MCP Server development, embedding-based search and LLM integration.
• Required: experience with microservices architecture, Kubernetes, OpenShift, AWS and/or Azure, Spring Boot, Node.js, CI/CD and DevOps automation.
• Preferred: experience with Trino, Superset, Starburst SQL Server, ETL tools, S3, Airflow, Iceberg, PySpark or Hive.
• Preferred: experience building financial services solutions on big data infrastructure.
• Strong hands-on skill with machine learning frameworks, agentic AI architecture and cloud computing platforms.
• Proven ability to lead technical delivery and mentor engineers in a fast-moving setting.
• Strong communication and facilitation skills, and the ability to turn business requirements into technical designs.
• Working knowledge of AI ethics, data privacy and the regulations that apply to AI systems.
• Preferred certifications: AWS Certified Machine Learning Engineer - Associate (MLA-C01) or AWS Certified AI Practitioner; Microsoft Certified: Azure AI Engineer Associate (AI-102); Google Cloud Professional Machine Learning Engineer; NVIDIA AI/Deep Learning certification (e.g., NVIDIA Certified Associate: AI Infrastructure); Databricks Machine Learning Associate.

Conditions

Applications are accepted through November 13, 2026. The posting closes after that date.

Final pay depends on factors such as skill level, cost of living, experience and responsibilities.

All team members are expected to uphold the company's Core Values and apply Performance Excellence principles to keep improving effectiveness, efficiency, products and services. This includes joining improvement teams, proposing and carrying out improvements, and taking part in training to stay current on processes and information.

All team members must support and comply with internal and external audits, provide requested information, complete assigned compliance tasks, and prepare and keep evidence that internal control duties were performed.

All team members must support and follow safety and security policies that keep the workplace healthy.

The company is a financial institution performance partner for banks and credit unions, using data, technology and people to help them grow, improve efficiency, deepen engagement and manage change. It draws on 150 years of financial services experience.

Benefits

• Total rewards package including medical, dental and vision coverage, 401K matching and flexible PTO.
• Additional benefits available, including life insurance, employee assistance and pet insurance.