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Added 41 mins ago
Senior Site Reliability Engineer/Cloud Platform Engineer
Skyflow
Remote, United States
Skyflow secures the flow of data across datastores, models, and agents. Enterprises turn to Skyflow as their runtime AI data control layer to protect sensitive data, enable safe AI…
Added 1 hour ago
Senior Cloud Platform and DevSecOps Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
Working knowledge of RMF/STIG controls, change management, operational acceptance, logging/audit, and classified data-handling requirements.
Added 1 hour ago
Automation Engineer
Colgate-Palmolive Company
Piscataway, NJ
Observability & Splunk: Perform in Splunk data onboarding, write SPL queries to expand platform visibility, drive proactive monitoring, and accelerate root-cause troubleshooting across the…
Added 1 hour ago
AI Solution Engineer
Colgate-Palmolive Company
Piscataway, NJ
The AI Solution Engineer designs, builds, deploys, and supports secure, production-grade enterprise applications powered by LLMs and multi-agent architectures. The role combines modern…
Added 1 hour ago
Software Engineer, Full Stack Web
Volvo Car Corporation
Mahwah, NJ
…customer journeys, web architecture, APIs, cloud services, data flows, third-party integrations, security, accessibility, and operational dependencies within your…
Added 3 hours ago
VP
Senior AWS Cloud Engineer
Votaw Precision Technologies LLC
Santa Fe Springs, CA
- $130,000 to $165,000 USD / year
The Senior AWS Cloud Engineer will build and own Vela’s cloud foundation in AWS GovCloud (US), where CUI and manufacturing data will reside. This hands-on role will establish the landing…
Added 3 hours ago
Principal SecOps & Observability Engineer (Clearance Secret or Top Secret)
Hewlett Packard Enterprise
Ft. Collins, CO · Montgomery, AL · Spring, TX · Oklahoma City, OK · All, MD · All, FL
…operations console for monitoring Security Operations (SecOps) and Observability across disconnected, air-gapped, and hybrid environments. As Principal Technologist, you are the senior…
Added 5 hours ago
BF
Core Java - Advanced
BC Forward
Westerville, OH
- $60 to $64 USD / hour
Added 8 hours ago
Senior Staff Data Platform Software Engineer
ServiceNow
San Diego, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 8 hours ago
TT
Founding Engineer
True Talent Solutions Partners
New York, NY
- $210,000 to $260,000 USD / year
- Own backend APIs, database design, access controls, sensitive health data boundaries, backups, staging, observability, and deployments.
Added 8 hours ago
A
Principal Storage Engineer
AT&T
Plano, TX
- $155,400 to $261,100 USD / year
We are seeking a highly skilled and experienced Principal Storage Engineer to serve as a technical leader responsible for the design, engineering, automation, reliability, and lifecycle…
Added 8 hours ago
A
Principal Storage Engineer
AT&T
Dallas, TX
- $155,400 to $261,100 USD / year
We are seeking a highly skilled and experienced Principal Storage Engineer to serve as a technical leader responsible for the design, engineering, automation, reliability, and lifecycle…
Added 9 hours ago
Senior HPC AI Engineer
NVIDIA Corporation
North District, IL
Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time
Added 9 hours ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Bellevue, WA · Birmingham, AL · Boise, ID · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Colorado Springs, CO · Columbus, OH · Dallas, TX · Davenport, IA · Denver, CO · Des Moines, IA · Detroit, MI · Fort Worth, TX · Fresno, CA · Ft. Lauderdale, FL · Gilbert, AZ · Grand Rapids, MI · Hartford, CT · Hermitage, TN · Houston, TX · Huntsville, AL · Indianapolis, IN · Inglewood, CA · Jacksonville, FL · Jericho, NY · Jersey City, NJ · Kansas City, MO · Lake Mary, FL · Lansing, MI · Las Vegas, NV · Los Angeles, CA · Louisville, KY · McLean, VA · Mechanicsburg, PA · Memphis, TN · Miami, FL · Midland, MI · Milwaukee, WI · Minneapolis, MN · Monterey, CA · Morristown, NJ · Nashville, TN · New Orleans, LA · NY · Omaha, NE · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Princeton, NJ · Raleigh, NC · Richmond, VA · Rochester, NY · Rosslyn, VA · Sacramento, CA · Salt Lake City, UT · San Antonio, TX · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tallahassee, FL · Tampa, FL · Tempe, AZ · Tulsa, OK · Washington, DC · Westlake, TX · Wichita, KS · Williamsville, NY
Deloitte is seeking a Lead Managed Services Engineer II to design, automate, and operate enterprise-scale cloud capabilities that support clients’ critical cyber assets. In this role, you…
Added 9 hours ago
Application Support Manager (SRE)
Deloitte US
Dallas, TX
…work in a collaborative environment? As an Application Support Engineer, you will have the ability to share new ideas and collaborate on high-impact projects supporting mission-critical…
Added 9 hours ago
Applied AI Site Reliability Engineer III
Deloitte US
Hermitage, TN · Nashville, TN
As an Applied AI Site Reliability Engineer III, you will actively engage in your engineering craft, taking a hands-on approach to the reliability, performance, and operational integrity of…
Added 9 hours ago
L55 - Lead DevOps Engineer II
Deloitte US
Hermitage, TN · Nashville, TN
As a Lead Applied AI Site Reliability Engineer II, you will actively engage in your engineering craft, taking a hands-on approach to the reliability, performance, and operational integrity…
Added 9 hours ago
Applied AI Site Reliability Engineer I (PxE A&A)
Deloitte US
Tampa, FL
As an Applied AI Site Reliability Engineer I, you will actively engage in your engineering craft, taking a hands-on approach to the reliability, performance, and operational integrity of…
Added 10 hours ago
Senior Software Engineer
Kimedics, LLC
United States
The Senior Engineer is a highly capable individual contributor who leads the technical delivery of significant features and projects within their team. This role applies deep expertise to…
Added 12 hours ago
Sr Systems Engineer
Apex Systems, Inc
Bentonville, AR
Added 12 hours ago
Senior Mission Software Engineer
Varda Space Industries
El Segundo, CA
The Senior Mission Software Engineer is responsible for Varda's critical ground segment software, and the platform it runs on which enables spacecraft operations. We operate at the…
Added 13 hours ago
Technology Consulting - TMT - Forward Deployed Engineer - Sr Manager
EY
Chicago, IL · Houston, TX · Miami, FL · New York, NY · San Antonio, TX · San Francisco, CA · Dallas, TX
…agentic programs, including service boundaries, orchestration, data contracts, evaluation frameworks, and operational…
Added 16 hours ago
Software Engineer (Hybrid)
Cisco Systems, Inc.
San Jose, CA · RTP, NC
Deploy GenAI/LLM orchestration, RAG pipelines, and multi-agent systems to automate due diligence, data mapping, and migration testing.
Added 16 hours ago
Software Development Manager, Management Plane
Amazon
Seattle, WA
…systems, focusing on API development, secure device connectivity, observability platforms, and the systems that enable thousands of engineers to manage AWS's global fleet efficiently and…
Added 18 hours ago
Senior AI Engineer
Octus
NEW YORK, NY

Hearst

Principal AI Engineer

Dallas, TX, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

The Opportunity

Homecare Homebase (HCHB) is the software platform behind home health and hospice care across the United States, supporting scheduling, clinical documentation, coding, compliance and revenue cycle for agencies serving millions of patient visits each year.

We are seeking a Principal AI Platform Engineer to build our AI software factory. This is a hands-on individual contributor role. You will write code every day, ship the first working version of our agent platform yourself, and then teach engineering teams to build on it. You will have no direct reports at the start. The platform will run agents against our production codebase, with people writing specifications and validating results and agents doing most of the implementation. You will also serve as the senior technical authority on AI built into our products.

Our primary stack is .NET and Azure, with Azure DevOps, Kubernetes, Azure AI Foundry and MCP-based tooling, alongside other languages and frameworks. The agent platform must work across all of them. This is a greenfield effort, so you will set the standards rather than inherit them.

Is This Role for You?

This role is for someone who builds. You’ll set standards, shape how teams use AI and influence the roadmap, but you’ll do it through working code and reference implementations, not decks, review boards or org charts. If your recent work has mostly been leading teams, advising executives or designing solutions that others implement, this probably isn’t the right match. Expect to spend most of your time coding, especially in your first few months.

What You’ll Do

AI Platform Architecture and Development

Design, write and operate the agent platform that runs autonomously against our production codebase, taking work from specification to pull request with human review.
Implement agentic patterns, orchestration and tool integration for real-world engineering workflows.
Make the platform effective across our full technology stack, not only one language or framework.
Define the agent templates and shared framework that every team uses.
Own the AI lifecycle from concept through deployment, operation and iteration on Azure and Azure AI Foundry.
Shape how work is handed to agents and review the results, from concept to specification through pull request.

Developer Experience and Integration

Partner with application teams to integrate AI capabilities into existing products and workflows.
Build the APIs, SDKs, MCP servers and extension points that engineering teams build on.
Establish how MCP servers, tools and agent skills are packaged, versioned, discovered and distributed to teams, such as through an internal registry or catalog with access controls.
Design tool access with per-tenant data scoping, so that an agent acting for one agency can reach only that agency’s data.

Context and Knowledge Engineering

Design the context, skills and retrieval patterns that make AI agents effective in large codebases, including an application-level knowledge map that tells an agent which module a ticket belongs to and what it affects.
Decide when retrieval is the right tool and when curated context is better.
Establish versioning, review and governance for shared AI assets.

Evaluation, Safety and Operational Quality

Build evaluation frameworks that measure AI output quality and detect regressions.
Define guardrails, failure handling and human-in-the-loop controls for regulated environments, including keeping PHI out of agent context, prompts and logs.
Monitor and optimize AI systems for reliability, accuracy and cost efficiency, with token budgets, rate limits, retry caps and step limits.
Establish observability best practices across supervised and autonomous AI usage.

Enablement and Technical Leadership

Mentor engineers across the organization and raise AI engineering capability at scale, by building working examples in their own codebases.
Define engineering standards and shape the AI technical roadmap with the CTO.

Innovation and Applied Research

Evaluate emerging capabilities in LLMs, agentic AI, RAG and MCP, and bring what proves out into production.
Advise on build, buy and partner decisions across the AI toolchain.
Maintain a working view of commercial and open-weight models, and match model tiers to tasks by cost, latency, quality and data-handling terms.

What Success Looks Like

Within your first 90 days, a working agent template and shared framework that engineering teams can adopt, with at least one team using it on real tickets.
Telemetry in place for token spend, agent launch frequency and traceable tool calls.
A baseline for measuring the impact on our development process: time saved, delivery velocity and cost.
One common standard across teams such as clinical, revenue cycle and integration, so that each team owns its knowledge but no team builds its own agents, models or tiers.

What You’ll Bring

Required Qualifications

Bachelor’s or advanced degree in Computer Science, Engineering or a related field, or equivalent practical experience.
10+ years in software engineering, with recent hands-on coding. You write code today, not only review it.
3+ years building and operating production AI systems in which agents call tools or change code. RAG or machine learning products alone do not meet this bar.
Proficiency in Python and modern AI tooling (for example LangChain, LangGraph, MCP, OpenAI and Anthropic SDKs).
Hands-on experience building MCP servers or equivalent tool interfaces, including authentication and per-tenant access control.
Ability to make agents effective across multiple languages and technology stacks, not only one.
Hands-on experience deploying and operating AI workloads in cloud environments (Azure preferred).
Solid grasp of LLMs, generative AI, agentic patterns and context engineering.
Proven RAG experience, and judgment on when retrieval beats curated context.
Experience with AI evaluation and observability, including quality measurement, cost and token management.
Working knowledge of handling regulated data such as PHI in AI systems.
Demonstrated record of mentoring engineers and raising technical capability across teams.
Evidence of your own work: a repository, code sample or demo of agent or MCP work that you personally built.

Preferred Qualifications

Experience integrating AI into C# and .NET applications.
Experience using AI coding tools such as Cursor or Claude Code on large codebases.
Familiarity with vector databases and retrieval tooling (for example pgvector, Pinecone, Azure AI Search).
Exposure to LLMOps and evaluation tooling (for example Azure AI Foundry, MLflow, LangSmith, CI/CD).
Familiarity with agent-to-agent communication standards such as A2A, and judgment on when a multi-agent design is warranted over a single agent with tools.
Experience with large legacy codebases and incremental modernization.
Interest in healthcare, EHR or revenue cycle applications.

Additional Information

Sponsorship: This position does not provide immigration sponsorship. Applicants must have the right to work in the U.S. without immigration sponsorship.

What You Can Expect From Us

We don't just help our clients succeed; we help our employees succeed. Competitive pay, robust benefits and professional development opportunities are a few of the many reasons Homecare Homebase is a great place to build your career.

Meaningful work. Make a difference in the lives of clinicians and home-based care teams - and ultimately the patients they serve.
Leaders who care. Work in a culture where leaders value, support and invest in their people.
Flexibility. We value work-life balance and offer career opportunities designed to support life’s changing demands.
A company that gives back. Each year, Homecare Homebase supports charitable initiatives that align with our mission of empowering exceptional care and helping others in need.

Sound like a good fit? We’d love to hear from you.

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More about this job

Skills

Write specifications
.NET
Microsoft Azure
DevOps
Kubernetes
Leadership
Research
Computer science
Machine learning
Coaching
C#
Mlflow
CI/CD
Communication skills
EHR

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