Interested in this AI/ML Engineer role at Framatome North America?
Apply Now →Skills & Technologies
About This Role
Why This Role Is Critical:
As the need for nuclear energy grows, the future couldn’t be brighter. Join our vital mission to create lasting solutions for our planet’s greatest challenges. In this role, you are ready to shape the future of clean energy and make a long\-lasting global impact. With us, anticipate engaging and challenging projects that deliver innovative solutions and value\-added technologies helping power more than 38 million North American homes.
Framatome is leveraging digital technologies to enhance the safety and performance of the North American fleet. This role sits at the center of that transformation, helping translate business needs into secure, valuable digital solutions.
Within the Installed Base America (IB\-A) Business Unit, you will serve as a Full Stack Software Engineer under close supervision. You will provide fundamental programming and consulting services for various internal customers to modernize Framatome’s business processes through digital transformation.
This role offers the opportunity to directly influence the safety and efficiency of critical energy infrastructure while developing expertise in deploying cutting\-edge applications and tools. You'll collaborate with teams ranging from field operations to senior leadership.
What You’ll Do Day\-To\-Day:
- Implement technical requirements: Write code to implement features by following specifications, and designs.
- Quality Control: Verify software through testing, code reviews, and documentation.
- Partner with Stakeholders: Help identify operational challenges and requirements using off the shelf products such as LLMs, ML tools, Framatome’s software portfolio, and new/emerging technologies.
- Learn: Industry best practices, time management tools, emerging technologies.
- Research: Expand team knowledge by researching emerging technologies and presenting key findings.
- Ownership: You may be asked to own part or all of a specific application, making strategic leadership decisions, and being responsible for creating and defending software design decisions. This includes defining technical requirements, breaking down work into tasks, and guiding feature implementation from concept to completion.
- Leadership: Provide guidance and mentorship to newer engineers you may work alongside. This includes helping them understand best practices, reviewing their code, supporting their technical growth, and contributing to a collaborative learning environment. You may also assist in onboarding, offering technical direction, and reinforcing team standards to help junior team members succeed.
What You'll Bring:
- Education: Bachelor's degree in Engineering, Business, Information Systems, Computer Science, or related technical discipline. Equivalent work experience may be considered in lieu of a degree.
- Experience: minimum of 2 years of related experience required.
- Communication Skills: Strong written and verbal communication skills; comfortable presenting to internal customers.
- Teamwork: Ability to develop and maintain strong interpersonal relationships; work collaboratively.
- Time Management: Ability to manage tasks effectively.
- Citizenship: U.S. Citizenship required due to data and systems access requirements.
- Software Development: Write code to create full stack applications using Python, C\#, TypeScript, CSS, and modern frameworks such as Vue or React.
- AI: Passion for leveraging LLMs, building AI tools and Agents to complete complex tasks.
- Occasional domestic travel (\<15%) to customer sites and Framatome facilities. Periodic international travel to France, Germany, and other Framatome locations for R\&D meetings and coordination on digital initiatives.
Preferred Skills
- Data Science: Ability to document data structures, create ETLs and reports.
- Mobile Development: Native or React Native or other frameworks.
Total Rewards Package:
- Salary: $77,000\-$100,000 may also include annual incentives and performance bonuses. The base salary range is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location.
- Health \& Wellness: Multiple medical plan options, dental \& vision coverage, life insurance, long\- and short\-term disability, and optional supplemental plans (critical illness, accident, hospital indemnity, dependent life).
- Retirement: 401(k) with employer match.
- Paid Time Off: Up to 3 weeks of vacation, 8 sick days, and 13 paid holidays annually.
- Extra Perks: Lifestyle spending account, employer paid mental health support, education reimbursement, professional development opportunities, adoption assistance, parental leave, and employee assistance programs.
About Framatome:
Framatome has been shaping the future of nuclear energy in the U.S. for more than 60 years. Framatome Inc. is headquartered in Lynchburg, Virginia, with more than 2,400\+ employees across North America supporting nearly every nuclear plant in the nation.
From our facilities in Virginia, Washington, North Carolina, Pennsylvania, Massachusetts and beyond, we deliver outage services, advanced nuclear fuel technologies, and next\-gen reactor innovations that keep the lights on.
At Framatome, you will join a global team committed to creating reliable, carbon\-free energy. Here, you can:* Solve complex nuclear challenges that directly impact the climate.
- Build your career through technical fellowships, leadership roles, and global opportunities.
- Do your best work in a culture that values safety, innovation, and well\-being.
Framatome is an Equal Opportunity / Affirmative Action Employer. All qualified applicants receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Offers are contingent on background check and drug screen (where applicable). Positions may involve access to information subject to U.S. export control regulations; applicants must meet eligibility requirements (see DOE 810 Appendix A).
Salary Context
This $77K-$100K range is in the lower quartile for AI/ML Engineer roles in our dataset (median: $180K across 2064 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 3,963 AI roles we're tracking, AI/ML Engineer positions make up 70% of the market. At Framatome North America, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $180,000 based on 12,398 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $163,400. This role's midpoint ($88K) sits 51% below the category median. Disclosed range: $77K to $100K.
Across all AI roles, the market median is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($290,000) and AI Safety ($274,200). By seniority level: Entry: $97,760; Mid: $163,400; Senior: $227,400; Director: $244,800; VP: $250,000.
Framatome North America AI Hiring
Framatome North America has 4 open AI roles right now. They're hiring across AI/ML Engineer. Based in Lynchburg, VA, US. Compensation range: $100K - $134K.
Location Context
Across all AI roles, 15% (593 positions) offer remote work, while 3,349 require on-site attendance. Top AI hiring metros: New York (2,585 roles, $210,300 median); San Francisco (2,103 roles, $253,000 median); Los Angeles (1,764 roles, $190,500 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 3,963 open positions tracked in our dataset. By seniority: 116 entry-level, 1,875 mid-level, 1,532 senior, and 440 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (593 positions). The remaining 3,349 roles require on-site or hybrid attendance.
The market median for AI roles is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($290,000 median, 39 roles); AI Safety ($274,200 median, 52 roles); Research Engineer ($260,000 median, 421 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 3,963 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,783), Data Scientist (297), AI Software Engineer (279). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (116) are outnumbered by mid-level (1,875) and senior (1,532) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 440 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (593 positions), with 3,349 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,000. Top-quartile roles start at $253,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $290,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,043 postings), Aws (1,241 postings), Azure (934 postings), Rag (886 postings), Gcp (774 postings), Pytorch (614 postings), Prompt Engineering (614 postings), Claude (564 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.