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Added 1 min ago
Senior Software Development Engineer, Marine & RV/Camping
Storable
Seattle, WA
Storable is seeking a Senior Software Development Engineer to join our Marine and RV & Camping Divisions (Storable Marine and Newbook) and help build the software that powers the day-to-day…
Added 4 mins ago
Staff Engineer
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As a Staff Software Engineer, you will be the primary architect and execution lead for leading the platform changes for the Digital Credit Application.
Added 9 mins ago
Staff Backend Software Engineer- (AI Platform)
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Added 16 mins ago
AI Solutions Architect / Forward-Deployed Engineer
Watsco Inc.
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AI Solutions Architect / Forward-Deployed Engineer| HVAC Products| Carrier Enterprise| Orlando Remote
Added 22 mins ago
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Added 24 mins ago
Cloud Architect-Forward Deployed Engineer (FDE)
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Added 25 mins ago
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Added 33 mins ago
Senior Network Engineer
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Vail Resorts is seeking a Senior Network Engineer to design, secure, and automate the networks that support our cloud platforms, enterprise data centers, and modern applications. This…
Added 41 mins ago
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Staff Backend Engineer, Internal
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Remote, United States
- $229,000 to $270,000 USD / year
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Added 43 mins ago
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Staff AI & Data Engineer – Databricks
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- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 44 mins ago
Senior Software Engineer
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Remote, United States
…teams, and this role is for a senior individual contributor engineer who will work side-by-side with Product Management, UX, and other engineers to turn product strategy into reliable,…
Added 54 mins ago
Sr. Support Development Engineer (Remote)
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Added 1 hour ago
Senior Principal Embedded Engineer, AI Solutions
Autodesk
Remote, United States
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Added 1 hour ago
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Product Software Engineer II
Disney Entertainment & Sports LLC
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- $119,200 to $159,800 USD / year
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Added 1 hour ago
Senior Forward Deployed Engineer (FDE Lead
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Establish and enforce engineering quality standards, including secure-by-default practices, observability, testability, and operational readiness.
Added 1 hour ago
Software Development Engineer II, Client Engineering
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You will work across the endpoint, cloud, data, automation, and observability layers to build capabilities such as:
Added 1 hour ago
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Lead Principal Application Software Engineer
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…organization, is seeking a Lead Principal Application Software Engineer (IC5) to lead engineering practices and architecture. Our team modernizes corporate systems, processes, and data,…
Added 1 hour ago
Lead Data Engineer
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As the Lead Assignment Engine Data Engineer, you will lead the data engineering design for an explainable, configurable engine that converts normalized cloud and operational data into…
Added 1 hour ago
Engineer
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We are seeking a Senior AI Engineer to design, build, and operate AI and agentic solutions supporting Canadian Banking, International Banking, Global Banking and Markets (GBM), Global…
Added 1 hour ago
Manager, Engineering
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Added 1 hour ago
Lead Data Engineer
projects/helpful-passage-853/companies/9810ab3a-d8cd-4ba4-9ee5-ca421241fe3c
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…agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses…
Added 1 hour ago
Senior Software Engineer
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We're looking for a Senior Front-End Software Engineer AI to join the CoCounsel team. We are building the next generation of AI agentic products for legal professionals. The team takes…
Added 1 hour ago
Software Engineer
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Remote, United States
…agents. We provide reusable runtimes, APIs, tools, plugins, and operational capabilities so product teams can focus on customer…
Added 1 hour ago
Software Engineer
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…agents. We provide reusable runtimes, APIs, tools, plugins, and operational capabilities so product teams can focus on customer…
Added 2 hours ago
Senior Decision Intelligence Engineer
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The Senior Machine Learning Engineer, Decision Intelligence is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA…

Intercontinental Exchange (ICE)

Senior AI Engineer, Release Engineering

Omaha, NE, United States

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Job details

Experience: 5+ years of professional experience in software engineering, DevOps, or release engineering, including platform or internal tooling work.
Posting language: English
Posted: Nov 6, 2026

Original job description

At ICE, we are driven by a shared mission and a commitment to continuous progress. Our team comprises dedicated problem-solvers who begin with our customers’ needs, address their challenges, and turn them into valuable opportunities. With a start-up mindset, we remain agile, adaptable, and ready to act quickly.

The Senior Engineer is a full-stack engineer with strong AI and large language model (LLM) expertise, embedded within the Release Engineering Development team. This team designs and maintains processes that improve infrastructure delivery through application development, data management, and automation.

In this role, you will build and continuously evolve an internal, AI-powered developer platform. Central to this work is a genuine drive to advance the application of agentic AI frameworks by designing reliable agents, prompts, MCP integrations, and building our AIDLC (AI Development Life Cycle) while staying ahead of emerging LLM capabilities.

You will build and operate the agentic AI platform that is the core of our AIDLC which automates development, release, and operational workflows across engineering. This includes agents, skills, and MCP integrations that act across CI/CD, source control, ticketing, and deployment systems, with the security, evaluation, and auditability required for privileged access.

Responsibilities

Agent Platform
Design, build, and maintain the platform - including the agent API, MCP integrations, and intent-routing logic.
Build 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 the skill and agent registry that matches user intent with the appropriate agent and context at runtime.
Maintain a modular architecture so new agents, skills, and MCP integrations can be added without disrupting existing capabilities.
AI Development Life Cycle (AIDLC) - Agentic Workflows
Design multi-step, tool-using agents that select tools, reason across context, and produce reliable, structured output.
Author, test, and iterate on prompts, skill definitions, and context structures while managing context windows and token budgets.
Design for failure by anticipating how agents fail, context degrades, and prompts drift - and by defining how the system recovers.
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, Governance, and Human Oversight
Enforce least-privilege, zero trust, access for agentic automation, with clearly defined identities (user or service account) and per-tool permissions.
Design 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 all agent actions and model inputs.
Evaluation, Reliability, and Cost
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.
Instrument agent runs with tracing and structured logging so incorrect decisions can be diagnosed after the fact.
Own platform reliability through health checks, runbooks, and explicit failure modes - support release tooling, CI/CD pipelines, and AI workflows in production.
Adoption and Collaboration
Contribute to developer-facing interfaces, including chat integrations within existing communication tools and the skills catalog.
Drive adoption by mentoring teams, documenting reusable patterns, and gathering feedback from both skeptical users and early adopters.
Translate workflow needs from Engineering, Infrastructure, and release teams into effective agents and skills.
Track emerging models, agentic use cases, and prototype the technologies that matter.
Write clean, tested, and secure code. Participate in code and design reviews. Document agent designs, prompt strategies, and platform decisions.

Knowledge and Experience

Engineering
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).
AI, Agents, and LLMs
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.

Preferred Knowledge and Experience

Experience with agentic technologies such as LangChain, LlamaIndex, LiteLLM, or AutoGen, along with the judgment to determine when a leaner custom approach is more appropriate.
Experience in Node.js/TypeScript, Go, and/or Python
Demonstrated experience building and delivering at least one production or near-production agentic automation/process that uses LLM APIs, such as Anthropic, OpenAI, and LiteLLM, with tool calling and structured output.
Practical experience with MCP or equivalent tool-calling frameworks, including schema design, agent-tool integration, and scope management.
Experience evaluating LLM outputs by using evaluation sets, regression testing, and quality metrics.
Experience with retrieval-augmented generation (RAG) and vector databases.
Experience with cloud AI platforms such as Amazon Bedrock, Azure OpenAI, or Vertex AI.
Experience with internal developer platforms or platform-as-a-product models.
Frontend development experience with React or Angular.
Relational database design experience.
Experience with LLM observability tools.
Experience with infrastructure as code and configuration management tools such as Terraform, Ansible, Puppet, or Chef.
Experience working in regulated or audited environments.
Experience with Agile practices and automated testing.
Experience with containers and orchestration platforms such as Kubernetes or OpenShift, along with proficiency in Linux environments.
Experience troubleshooting distributed systems (e.g., Kubernetes workloads, CI/CD pipelines, message queues).

What We Look For

An engineer who treats agentic AI as a design discipline and has a demonstrated record of applying emerging LLM and agent capabilities in practice.
A platform thinker who views agents, skills, MCP integrations, and the registry as one cohesive developer product.
Someone who takes ownership of reliability, security, and quality, and makes failure modes explicit.
A collaborative partner who reduces friction across the broader engineering organization and can build trust with skeptical teams.

Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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More about this job

Skills

ICE
CI/CD
Documentation
Regulatory compliance
Communication skills
Coaching
Workflow
DevOps
Git
GitHub
Atlassian Bitbucket
Security threats
LangChain
Node.js
TypeScript
Go
Python
Microsoft Azure
Front-end development
React
Infrastructure as code
IBM Terraform
Ansible
Puppet
Agile
Test automation
Kubernetes
Red Hat OpenShift
Linux
Troubleshooting

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