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Software Engineer, Systems ML
Meta
Frankfort, KY
Meta is seeking a principal-level Software Engineer to drive technical strategy and execution across our Systems ML Engineering organization. In this role, you will define the architectural…
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Lead Site Reliability Engineer
Humana
Frankfort, KY
The Lead Site Reliability Engineer maintains, integrates and implements software applications within the organization. The Lead Site Reliability Engineer works on problems of diverse scope…
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Tester (Remote)
GovCIO
Frankfort, KY
GovCIO is currently hiring a Software Development Engineer in Test (SDET), Test Engineer, to join cross-functional product teams building and modernizing federal digital services on AWS…
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Safety Data Analysis Engineer – AV Operational Safety and Issue Response (GPSSC)
General Motors
Frankfort, KY
…hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment…
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Principal Software Engineer
Lyric
Frankfort, KY
Added just now
AT
Principal Software Engineer - (Reston or Cambridge)
Akamai Technologies, Inc.
Frankfort, KY
- $169,300 to $304,700 USD / year
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Data Engineer
Deloitte
Louisville, KY
…work in a collaborative environment? As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands…
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Senior Controls Engineer
GE Appliances, a Haier company
Louisville, KY
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Plant Vehicle Team Service Engineer - Louisville Assembly Plant
Ford Motor Company
Louisville, KY
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Senior Salesforce Engineer
Humana
Louisville, KY
The Senior Software Engineer codes software applications based on business requirements. The Senior Software Engineer work assignments involve moderately complex to complex issues where the…
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Senior Structural Engineer (Water Management)
Arcadis
Virginia Beach · Richmond
Arcadis is seeking a Structural Engineer to join our Climate Adaptation and
Added just now
BH
Product Manager
Bamboo Health Inc
Louisville, KY
- $7.25 USD / hour
Bamboo Health is a leader in cloud-based care coordination software and analytics solutions focused on patients with complex needs, including those suffering from physical health and mental…
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BH
Staff Software Engineer
Bamboo Health Inc
Louisville, KY
- $7.25 USD / hour
Added 6 mins ago
Cloud Solutions Engineer
Humana Inc.
Remote, United States
The Cloud Solutions Engineer supports cloud-based customer experience platforms through the development, integration, testing, and optimization of conversational AI and contact center…
Added 6 mins ago
Cloud Solutions Engineer
Humana Inc.
Remote, United States
The Cloud Solutions Engineer supports cloud-based customer experience platforms through the development, integration, testing, and optimization of conversational AI and contact center…
Added 8 mins ago
DT
Missile Tracking Systems Engineer (Algorithm Development)- Boulder, CO
Davidson Technologies, Inc.
Boulder, CO
- $98,000 to $140,000 USD / year
…to excellence in hiring exceptional experts, engineers, and software developers. The company is dedicated to delivering advanced, intelligent technology solutions that safeguard national…
Added 9 mins ago
Software Engineer - E2
Lockheed Martin
Cape Canaveral, FL · Cape Canaveral
Added 9 mins ago
Cyber Systems Security Engineering Sr - E3
Lockheed Martin
Littleton, CO · King of Prussia, PA · Littleton · King of Prussia
The Fleet Ballistic Missile (FBM) program is seeking a Cybersecurity Engineer to help safeguard critical defense systems and support the resilience of strategic deterrence capabilities. In…
Added 9 mins ago
Systems Engineer Staff- E4
Lockheed Martin
Littleton, CO · Littleton
Added 9 mins ago
Software Engineer Sr - E3
Lockheed Martin
Longmont, CO · Boulder, CO · Rockville, MD · Longmont · Boulder · Rockville
Plans, conducts, and coordinates software development activities. Designs, develops, documents, tests, and debugs software that contains logical and mathematical solutions to…
Added 9 mins ago
sUAS/Drone Software Engineer Asc - Early Career
Lockheed Martin
San Luis Obispo, CA · San Luis Obispo
Added 9 mins ago
sUAS/Drone Software Engineer - Intern
Lockheed Martin
San Luis Obispo, CA · San Luis Obispo
Performs assignments in technical/engineering organizations (e.g., Electronics Engineering, Software Engineering, Facilities Engineering, Manufacturing Engineering) during vacations and…
Added 9 mins ago
sUAS/Drone Software Engineer - Intern
Lockheed Martin
San Luis Obispo, CA · San Luis Obispo
Performs assignments in technical/engineering organizations (e.g., Electronics Engineering, Software Engineering, Facilities Engineering, Manufacturing Engineering) during vacations and…
Added 9 mins ago
sUAS/Drone Software Engineer Asc - Early Career
Lockheed Martin
San Luis Obispo, CA · San Luis Obispo
Added 9 mins ago
Systems Engineer - E2
Lockheed Martin
Littleton, CO · Littleton

Closed listing

Deloitte

Lead Forward Deployed Engineer, Microsoft AI & Data

Columbus, OH, United States
Cleveland, OH, United States
Cincinnati, OH, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Posting language: English
Posted: May 27, 2026

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Original job description

Archived listing. The details below describe a past opening.

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026

Work you'll do

As a Lead Microsoft AI&Data FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale.

Client Engagement

Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.

Cross-Functional Pod Leadership & Program Governance

Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
Mentor and develop junior FDEs

GenAI Solution Development

Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.
Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.

Engineering & Data Foundations

Review and contribute to production-quality code
Guide architecture of data pipelines powering GenAI use cases
Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices
Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
1+ years of experience with Microsoft AI&Data including hands on experience with Azure AI Foundry
1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
1+ years of experience building reliable, maintainable, and well-documented code
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available

Preferred qualifications

Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
Experience operating within hybrid onshore/offshore teams
Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $189,200 to $372,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

About employer

More about this job

Skills

Problem solving
Debugging
Leadership
Communication skills
Risk management
Data management
CI/CD
Documentation
AWS
Microsoft Azure
Google Cloud
Computer science
Data engineering
Identity and access management
Apache Spark
Apache Airflow
dbt
Data modelling
ML
Microservices

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