Senior AI Engineer, Release Engineering

Intercontinental Exchange, Inc.; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

Intercontinental Exchange, Inc. seeks an experienced software/DevOps engineer to design, operate, and improve an AI-powered agent platform within Release Engineering Development.

You will own the agent platform and its AIDLC workflows, ensuring security, reliability, and effective adoption across engineering. You will build the agent API, MCP integrations, and intent-routing logic, connecting agents to CI/CD, source control, ticketing, and deployment tools, while maintaining a modular

Qualifications

• 5+ years of professional software engineering, DevOps, or release engineering experience.
• Hands-on CI/CD and Git-based source control experience (GitHub or Bitbucket).
• Strong prompt-engineering and context-window management skills.
• Knowledge of agentic patterns, planning, and multi-step tasks.
• Awareness of AI security risks, including prompt injection.

Responsibilities

• Design, build, and maintain the agent platform, including the agent API, MCP integrations, and intent-routing logic.
• Create MCP integrations that connect agents to CI/CD, source control, ticketing, and deployment tools with robust logging.
• Build and maintain a skill and agent registry mapping intents to agents and runtime context.
• Keep a modular architecture to introduce new agents, skills, and integrations without disruption.
• Design multi-step, tool-using agents that reason over context and produce structured output.
• Author, test, and iterate prompts, skill definitions, and context structures, managing context windows and token budgets.
• Plan for failure with recovery behavior and failure modes.
• Build release and CI/CD agents for pipeline triage, release readiness checks, and rollback assistance.
• Curate and maintain the AIDLC and champion best practices across the company.

Skills

Software engineering

DevOps

Prompt engineering

Agentic patterns

Context-window management

Security awareness

CI/CD practices

Education

Bachelor’s degree or equivalent

Tools

GitHub

Bitbucket

Claude Code

GitHub Copilot

Codex

Cursor

LangChain

LlamaIndex

Job description

Intercontinental Exchange, Inc. is building an internal, AI-powered agentic developer platform within the Release Engineering Development team, and this role focuses on designing, operating, and improving that platform end to end. You will own the agent platform and its AIDLC (AI Development Life Cycle) workflows, ensuring security, evaluation rigor, reliability in production, and effective adoption across engineering.

What you’ll build and operate

• Design, build, and maintain the platform, including the agent API, MCP integrations, and intent-routing logic.
• Create MCP integrations that connect agents to CI/CD, source control, ticketing, and deployment tools, with clear schemas, robust error handling and logging, and defined scope boundaries.
• Build and maintain a skill and agent registry that maps user intent to the right agent and runtime context.
• Keep a modular architecture so new agents, skills, and MCP integrations can be introduced without disrupting existing capabilities.
• Design multi-step, tool-using agents that select tools, reason over context, and produce reliable structured output.
• Author, test, and iterate on prompts, skill definitions, and context structures, while managing context windows and token budgets.
• Plan for failure by anticipating agent failure, context degradation, and prompt drift, and by defining recovery behavior.
• Build release and CI/CD agents for pipeline triage, release readiness checks, change documentation, and rollback assistance, in partnership with release and development teams.
• Curate and maintain the AIDLC, outlining best practices and championing the process across the company.

Security, reliability, and governance

• Enforce least-privilege, zero trust access for agentic automation using clearly defined identities (user or service account) and per-tool permissions.
• Implement human-in-the-loop approval workflows for high-risk actions such as deployments, promotions, and rollbacks.
• Protect against prompt injection, data leakage, and overprivileged agents.
• Ensure audit logging, compliance, and data-handling controls for agent actions and model inputs.
• Own platform reliability with health checks, runbooks, explicit failure modes, and support for release tooling, CI/CD pipelines, and AI workflows in production.
• Instrument agent runs with tracing and structured logging so incorrect decisions can be diagnosed after the fact.

Evaluation, model operations, and observability

• Build and operate evaluation frameworks, including evaluation sets, prompt regression tests, and quality metrics for agents and skills.
• Evaluate and select models while managing routing, caching, token budgets, and cost attribution.

Adoption and collaboration

• Contribute to developer-facing interfaces, including chat integrations within existing communication tools and a skills catalog.
• Drive adoption by mentoring teams, documenting reusable patterns, and gathering feedback from skeptical users and early adopters.
• Translate workflow needs from Engineering, Infrastructure, and release teams into effective agents and skills.
• Track emerging models and agentic use cases, and prototype technologies that matter.
• Write clean, tested, secure code, participate in code and design reviews, and document agent designs, prompt strategies, and platform decisions.

Required qualifications

• Bachelor’s degree or an equivalent combination of education and experience.
• 5+ years of professional experience in software engineering, DevOps, or release engineering, including platform or internal tooling work.
• Hands‑on experience with CI/CD and Git-based source control platforms such as GitHub or Bitbucket (GitHub preferred).
• Understanding of agentic patterns, including planning, tool selection, multi‑step tasks, agent-loop design, and failure modes.
• Strong prompt‑engineering and context-window management skills, including experience with skill definitions or scoped system prompts.
• Working knowledge of AI security risks, including prompt injection.
• Daily use of AI coding tools such as Claude Code, GitHub Copilot, Codex, Cursor, or similar products.

Technologies

• CI/CD, GitHub, Bitbucket
• Claude Code, GitHub Copilot, Codex, Cursor
• LangChain, LlamaIndex, LiteLLM, AutoGen
• Node.js, TypeScript, Go, Python
• Anthropic, OpenAI, MCP, RAG, vector databases
• Amazon Bedrock, Azure OpenAI, Vertex AI
• React, Angular
• Terraform, Ansible, Puppet, Chef
• Kubernetes, OpenShift, Linux, Git
• Message queues, RAG components, Kubernetes workloads

Location: Atlanta, GA (onsite).