Jobs in the United States

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Added 25 mins ago
TT
Software Engineer, AI Agents
True Talent Solutions Partners
Remote, United States
- $200,000 to $320,000 USD / year
- Five to twelve years of software engineering experience building core products, ideally with applied AI or machine learning.
Added 41 mins ago
Offensive Security AI Engineer
Micron Technology
Boise
AI will be used as a force multiplier throughout the testing lifecycle. The engineer will apply AI-assisted techniques to accelerate reconnaissance, analyze attack paths, develop and debug…
Added 41 mins ago
Sr. Yield Enhancement Electrical Failure Analysis Engineer
Micron Technology
Boise
Apply AI, machine learning, statistical methods, and advanced analytics techniques to accelerate defect identification, yield trending, anomaly detection, predictive analysis, and root…
Added 41 mins ago
Principal Software Engineer - Robotics & Physical AI Simulation
Irving, TX
● Knowledge of perception, localization, planning, control, reinforcement learning, and autonomous-machine systems.
Added 46 mins ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
…systems in customer-facing or embedded roles. Experience building machine learning/ GenAI systems with modern AI/ML technologies, including LLMs, embeddings, vector databases, and RAG…
Added 48 mins ago
Senior Engineer, IAM Platform Engineering
AmerisourceBergen
Conshohocken, PA
…are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center…
Added 48 mins ago
Lead Engineer, IAM Platform Engineering
AmerisourceBergen
Conshohocken, PA
…are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center…
Added 49 mins ago
AI Data Scientist Intermediate
Geisinger System Services
Danville, PA
Added 55 mins ago
KC
CCD Sensor Engineer
KLA Corporation
Milpitas, CA
- $117,800 to $200,300 USD / year
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon…
Added 55 mins ago
KC
Sales Account Manager
KLA Corporation
Austin, TX
- $129,400 to $220,000 USD / year
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon…
Added 56 mins ago
TT
Software Engineer, C++ Systems
True Talent Solutions Partners
San Francisco, CA
- $250,000 to $325,000 USD / year
Join a systems engineering team building the core C++ software behind GPU virtualization for AI and machine learning workloads. You will help improve GPU utilization and scale a cloud…
Added 59 mins ago
Sr. Model Engineer, Imagine
SpaceXSI
Palo Alto, CA
As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation…
Added 1 hour ago
AI/ML Computational Science Associate Manager
Accenture LLP Company
United States
Minimum of 4 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.
Added 1 hour ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
…systems in customer-facing or embedded roles. Experience building machine learning/ GenAI systems with modern AI/ML technologies, including LLMs, embeddings, vector databases, and RAG…
Added 1 hour ago
PI
Senior Principal AI Research Engineer
Pfizer Inc
WA · CA · MA · CT · NY
- $139,100 to $231,900 USD / year
As a Senior Principal AI Research Engineer, you will build the machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists…
Added 1 hour ago
PI
Senior AI Research Engineer
Pfizer Inc
WA · CA · MA · CT · NY
- $106,000 to $176,600 USD / year
As a Senior AI Research Engineer, you will build the machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists across Pfizer.
Added 1 hour ago
Applied AI Engineer Intern
Parspec
San Mateo, CA
As an intern, you’ll apply modern AI and machine learning techniques to concrete product problems, such as understanding product specifications, improving product recommendations, and…
Added 1 hour ago
TT
Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
- U.S. citizenship or permanent resident status is required. Experience building data or machine learning pipelines is a plus.
Added 1 hour ago
AI Engineer 4 (AI Foundations: World Model, RL, Causal Inference, Sequential Data)
Capital One
McLean, VA · Cambridge, MA · San Jose, CA · NY
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…
Added 1 hour ago
AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)
Capital One
McLean, VA · San Francisco, CA · Cambridge, MA · San Jose, CA · NY
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…
Added 1 hour ago
Forward Deployed Engineer
Bausch + Lomb
Bridgewater, NJ
Design, code, and deploy AI-enabled solutions, including generative AI, agents, machine learning, and workflow automation, that operate reliably in enterprise environments.
Added 1 hour ago
Data Engineer, Clinical Operations
Bristol Myers Squibb
Princeton, NJ
Leverage Databricks Mosaic AI and MLflow to develop, track, deploy, and manage machine learning and GenAI models at scale within cross-study and specimen management contexts.
Added 1 hour ago
Mechanical Engineer Intern
KLA Corporation
Milpitas, CA
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon…
Added 1 hour ago
Director - Network Infrastructure Security & Engineering
United Airlines
Chicago, IL
Architect and engineer secure, resilient connectivity across all airports, campus and remote offices, contact centers, cloud, and third-party network connections, embedding network security…
Added 2 hours ago
GL
Principal - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $205,425 to $342,375 USD / year
Lead multi-FDE engagement teams, directing Staff, Senior, and Engineer-level FDEs across concurrent engagements within assigned business units.

Closed listing

Deloitte

Lead AI and Data Science Engineer II

St. Louis, MO, United States
Kansas City, MO, 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: Nov 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and leading a small team in a fast-paced environment to achieve strategic mission goals? If so, Deloitte has an exciting opportunity for you! As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in leading machine learning, deep learning, and generative AI initiatives that will be utilized by Enterprise Solutions professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to manage ambiguity, and apply problem-solving skills to anticipate and resolve complex issues.

Work you'll do

Lead the development of data science products that meet the needs of our clients, with an emphasis on the ability to transform client needs into quantifiable data science solutions and track their outcomes.
Independently manage workstreams, using critical thinking and problem-solving skills to devise effective solutions for unique challenges and proactively identify critical business problems.
Design, train, and deploy machine learning and deep learning models to various platforms (AWS, Databricks, Snowflake, etc.).
Lead the design of, and advise on, Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), Supervised Fine-tuning (SFT), etc.)
Utilize Machine Learning Operations (MLOps) pipelines, including knowledge of containerization (Docker) and CI/CD for training and deploying models.
Develop cleanly written code that is sufficiently commented and easily understood by others, and ensure the team's code meets the same standard for sharing and collaboration.
Maintain structured documentation of project development stages, including the utilization of GitHub for version control and project management, and track team progress against project scope and timeline.
Build clear narratives and translate analytics into business-relevant insights, breaking down complex analytical solutions to explain to clients and internal stakeholders.
Remain current with latest industry trends and developments in data science and/or related fields, applying them to build leading practices and respectfully challenging existing approaches, with the ability to learn new skills and knowledge and coach team members to advance the skillset of our Data Science team.
Apply thorough attention to detail, and oversee the review of the team's data science solutions for accuracy and quality.
Coach and mentor team members, and contribute to Coach and project management responsibilities.
Proactively identify risks and dependencies, and escalate appropriately.

The Team

Government Solutions and Innovation builds and maintains AI-powered platforms for the GPS Practice - acting as the connective tissue between business stakeholders, end users, and the development team, and using data to continuously improve the product experience and drive realized value.

Qualifications

Required:

Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering or other analytical field
8+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated experience leading data science projects and teams from inception to deployment.
Strong knowledge of LLMs and RAG.
Working knowledge of AWS, Databricks, and/or Snowflake platforms.
Strong knowledge of MLOps, including familiarity with containerization (e.g., Docker).
Excellent troubleshooting skills and the ability to manage ambiguity and work independently.
Strong organizational skills, including clear documentation of projects and ability to write clean code.
Experience leading projects using agile project methodology and/or project development lifecycle.
Experience with GitHub for version control.
Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical audiences and build narratives that influence internal and client stakeholders.
Ability to complete work in an acceptable timeframe and manage a variety of workstreams, team priorities, and responsibilities simultaneously and with accuracy to meet deadlines, goals, and objectives and satisfy internal and external customer needs related to the job.
Demonstrated experience coaching or mentoring other data scientists.
Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

Master's Degree in Statistics, Mathematics, Computer Science, Engineering or other analytical field, OR comparable direct work experience.
Significant experience with MLOps and associated serving frameworks (i.e., FastAPI, etc.) and orchestration pipelines (e.g., SageMaker Pipelines, Step Functions, etc.).
Significant experience working with open source LLMs (e.g., serving via TGI / vLLM, performing CPT and/or SFT, etc.).
Experience using various AWS Services (e.g., Eventbridge, EC2, Lambda, Textract, etc.).
Knowledge of Object-Oriented Programming (OOP) concepts.

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 $118,700 to $197,800.

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

Machine learning
Deep learning
GPS
Decision making
Problem solving
Critical thinking
AWS
Databricks
Snowflake
Documentation
CPT
Docker
CI/CD
GitHub
Project management
Attention to detail
Statistics
Computer science
Python
TensorFlow
PyTorch
Troubleshooting
Work independently
Organizational skills
Communication skills
Presentation skills
Meet deadlines
Coaching
Object-oriented programming

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