AI Specialist (Technical)

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. 

Bechtel’s India offices support the execution of projects and services around the world. Working seamlessly with Bechtel’s global business units, project sites, customers, and suppliers, our teams have delivered more than 125 projects since 1994.  With offices in Gurgaon, Vadodara, and Chennai there are exciting career opportunities for candidates who are passionate about delivering projects that make a lasting, meaningful difference for people and communities around the world.

Job Summary:

We are looking for a highly capable Technical Specialist – Data & AI with strong expertise in Azure OpenAI Studio, Azure Databricks, and modern data engineering and AI technologies. This role focuses on technical solutioning, advisory, architecture design, PoCs, customer enablement, and driving adoption of Data & AI models across the organization.

The ideal candidate will work at the intersection of data engineering, machine learning, and applied generative AI, driving end‑to‑end solutions from data ingestion to model deployment for unique challenges and opportunities within the engineering, procurement and construction (EPC) sector.

In this role, you may be required to travel to other corporate or project offices.

Major Responsibilities:

• Identify AI Opportunities: Work closely with different departments to identify potential AI use cases that can solve business problems and create value.
• Use Case Development: Develop detailed AI use cases, including problem statements, objectives, expected outcomes, and success metrics.
• Feasibility Analysis: Conduct feasibility studies to assess the technical and economic viability of proposed AI use cases.
• Lead end to end technical solution design leveraging Azure Databricks, Azure OpenAI, Azure Data Lake, and other Azure services.
• Architect scalable data & AI systems including ingestion, transformation, storage, model deployment, and governance.
• Define reference architectures, best practices, and reusable solution patterns.
• Ensure solutions align with security, compliance, and enterprise governance standards.
• Design, fine tune, and optimize LLM based solutions using Azure OpenAI Studio.
• Build and demonstrate PoCs, pilots, and technical accelerators showcasing generative AI capabilities.
• Guide teams on RAG architectures, embeddings, vector databases, and enterprise LLMOps.
• Collaborate with product and engineering teams to ensure scalable, cost-efficient data solutions.
• Work closely with business leaders, architects, and engineering teams to understand requirements and define solution roadmaps.
• Provide trusted advisory on data governance, MLOps, model risk management, and LLM security.
• Conduct technical deep-dives, demos, and enablement sessions for internal/external stakeholders.
• Collaborate with cross functional teams to evaluate tooling, platforms, and product enhancements.
• Mentor technical teams on best practices in data engineering, machine learning, and cloud-native architectures.

Education and Experience Requirements:

• Education: Bachelor’s degree in computer science, AI, Classic Machine Learning models, Data Science, or a related field. Master’s degree preferred.
• Experience: 5–10 years of overall experience in Data Science, AI, Data Engineering, or Technical Architecture roles.
• Experience in data science, data engineering, or ML engineering.
• Proven experience building production-grade ML/AI systems.
• Prior exposure to LLMs, foundation models, or generative AI solutions
• 3+ years designing solutions on Azure + Databricks.
• Prior experience in a Technical Specialist, Solutions Architect, or technical consulting role preferred.

Required Knowledge and Skills:

• Solid technical background with understanding and/or hands-on experience in AI technologies.
• Strong programming skills in Python and SQL.
• Hands-on expertise with:
  • Azure OpenAI Studio (prompting, fine-tuning, deployments)
  • Azure Databricks (Spark, Delta Lake, notebooks, workflows)
  • Azure Data Lake Storage (ADLS), Azure Data Factory, Azure Functions
• Experience with MLflow, MLOps, CI/CD pipelines.
• Solid understanding of data modeling, distributed systems, and cloud-native architectures.

Total Rewards/Benefits:

For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at bechtel.com/total-rewards.

Diverse teams build the extraordinary:

As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.

We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.