AI Solutions Engineer

** Requisition :  297512*
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** Relocation Authorized:  None*
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** Telework Type:
Part-Time Telework*
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* Work Location:

Reston, VA*
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** Salary Range: 123, annually (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.)*
* # Extraordinary teams building inspiring projects:

Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.

Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure;
Nuclear, Security & Environmental;
Energy;
Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.

Core to Bechtel is our  Vision, Values and Commitments . They are what we believe, what customers can expect, and how we deliver. Learn more about our  extraordinary teams building inspiring projects  in our  Impact Report .

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Job Summary:

The AI Program is a strategic cross-business initiative delivering AI capabilities at scale across Bechtel Infrastructure as part of the wider Execution Transformation Initiative.  The AI Program relies on rigorous technical assurance to ensure that AI models, agents, and coding solutions deployed across Bechtel meet quality, safety, and accuracy standards. As AI capabilities scale from pilots to production, structured validation frameworks, coding standards, and Human-in-the-Loop (HITL) review processes are essential to maintaining trust in AI-driven outputs.

The AI Solutions Engineer will serve as the technical quality authority within the AI programme, responsible for establishing and enforcing AI coding standards, validating machine learning models and AI agents, and maintaining robust testing frameworks that safeguard the integrity of AI solutions across the organisation. This role reports to the Data Solutions Architect and works in close collaboration with the AI Portfolio & Governance Manager and functional AI leads.

_"This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership"_   LI-RM1

# Major Responsibilities:

+ Establish and enforce AI coding standards and development best practices across the AI programme, ensuring consistent quality and maintainability of AI solutions.

+ Validate machine learning models and AI agents against defined performance, accuracy, and safety criteria prior to deployment.

+ Serve as the Human-in-the-Loop (HITL) reviewer, providing structured oversight and approval authority for AI-generated outputs. Conduct solution assurance reviews prior to the deployment or broader rollout of AI capabilities across business units.

+ Design, implement, and maintain testing frameworks and evaluation pipelines for AI solutions including LLM-based applications and agentic workflows.

+ Collaborate with Data Solutions Architect to ensure AI solutions align with platform architecture, data governance standards, and security requirements.

+ Identify and mitigate risks related to model performance, hallucination, bias, and data quality, proposing and implementing corrective actions.

+ Maintain documentation of model performance benchmarks, test results, and validation outcomes to support programme governance.

+ Support the integration of AI agents and large language model (LLM)-based tools into project delivery workflows.

+ Contribute to the development of technical AI governance policies, responsible AI frameworks, and operational guardrails for the AI Program.

+ Research emerging AI and machine learning technologies, including developments in large language models, AI agents, evaluation techniques, and model deployment patterns, to ensure the AI Program adopts appropriate, current, and technically robust solutions.

+ Provide technical training, guidance, and coaching to the AI Program Team to build internal capability, strengthen technical expertise, and promote consistent application of AI engineering, testing, and assurance practices.

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Education and Experience Requirements:

+ Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.

+ 7+ years or more of experience in AI/ML engineering or data science roles.

# Required Knowledge and

Skills:

+ Proficiency in Python and experience with machine learning frameworks (e.g., scikit-learn, PyTorch, Tensor Flow, or Hugging Face).

+ Demonstrated experience in…