AI Specialist (Copilot)

Bechtel Corporation; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Robust benefits package

Diversity and inclusion initiatives

Job summary

Bechtel Corporation is looking for an AI specialist to join their team in Gurugram. The role involves designing intelligent agent workflows, integrating enterprise data, and deploying solutions using Copilot Studio. You will be responsible for driving end-to-end solutions in the engineering, procurement, and construction sector.

The ideal candidate will have at least 4 years of experience in AI/ML engineering and a strong background in Python, SQL, and MLOps practices.

Qualifications

• 4+ years of experience in AI/ML engineering, software engineering, or data engineering.
• 1–3 years building and deploying LLM-based assistants.
• Proven track record in shipping production copilots.
• Experience with vector databases like Azure AI Search or Weaviate.

Responsibilities

• Identify AI opportunities across departments for business solutions.
• Develop detailed AI use cases with problem statements and objectives.
• Conduct feasibility studies for proposed AI use cases.
• Design and maintain data ingestion workflows from varied sources.

Skills

Copilot Studio proficiency

AI/ML engineering

Python programming

SQL proficiency

REST APIs integration

MLOps/LLMOps experience

Data modeling understanding

Education

Bachelor's degree in computer science or related field

Master’s degree (preferred)

Tools

Azure OpenAI Studio

MLflow

Azure AI Search

Pinecone

LangChain

Job description

Location: Gurugram (Full‑Time Office/Project)

Job Summary

We are seeking an AI specialist with hands‑on expertise in building, integrating, and deploying solutions using Copilot Studio and Copilot Agents. You will design intelligent agent workflows, integrate enterprise data and tools, implement grounding and guardrails, and operationalize copilots with robust monitoring, governance, and lifecycle management. You will drive end‑to‑end solutions from data ingestion to model deployment for unique challenges within the engineering, procurement and construction (EPC) sector.

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.
• Solution Design:
  • Develop and maintain data ingestion workflows from varied sources (APIs, databases, file systems).
  • Design and implement Copilot Agents with autonomous planning, multi‑turn reasoning, memory, and tool/function calling.
  • Configure system prompts, guardrails, policies, and content filters to ensure safety and reliability.
  • Build actions, plugins, and custom connectors to integrate with REST APIs, Dataverse, Dynamics 365, SharePoint, Azure SQL, and internal systems.
  • Implement RAG (Retrieval‑Augmented Generation) using embeddings, vector indexes, and enterprise knowledge sources.
  • Optimize prompt engineering for accuracy, determinism, and cost‑performance tradeoffs.
  • Develop end‑to‑end orchestration flows in Copilot Studio, including triggers, branching, grounding, and hand‑offs to tools.
  • Configure data connections, knowledge sources, and security contexts via Entra ID and RBAC.
  • Create reusable templates and components for rapid solutioning and scale.
• Documentation: Maintain comprehensive documentation of AI use cases, including requirements, design, implementation, and performance metrics.
• Continuous Improvement: Stay up‑to‑date with the latest advancements in AI and continuously seek opportunities to improve existing AI solutions and processes.
• Enforce Responsible AI policies: safety, fairness, privacy, and content filtering.

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: 4+ years of experience in AI/ML engineering, software engineering, or data engineering; 1–3 years building and deploying LLM‑based assistants or conversational/agentic systems.
• Proven track record shipping production copilots with monitoring and lifecycle controls.
• Experience with Semantic Kernel or LangChain.
• Vector databases/search: Azure AI Search, Pinecone, Weaviate, or similar.
• MLOps/LLMOps: model/versioning, automated evaluations, CI/CD for AI assets.
• Certifications:
  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Power Platform Developer Associate

Required Knowledge and Skills

• Copilot Studio: agent configuration, orchestration, grounding, connectors, actions/plugins.
• Copilot Agents: planning, tool calling, memory, safety guardrails, evaluation.
• Azure OpenAI: GPT family, embeddings, function calling; prompt design & optimization.
• Integrations: REST APIs, OAuth, JSON schemas; Azure API Management is a plus.
• Azure Services: Azure Functions, Azure Storage/ADLS, Azure AI Search/Vector index, Event Grid/Service Bus (nice to have).
• Programming: Proficiency in Python and SQL; Power Automate/Power Fx exposure is a bonus.
• Hands‑on expertise with Azure OpenAI Studio (prompting, fine‑tuning, deployments).
• Experience with MLflow, MLOps, CI/CD pipelines.
• Solid understanding of data modeling, distributed systems, and cloud‑native architectures.

Total Rewards / Benefits

Bechtel offers robust benefits to ensure our people thrive. For more information, visit bechtel.com/total-rewards.

Diversity & Inclusion

Bechtel is a global company committed to diversity and is an equal‑opportunity employer.

Equal Opportunity Employer Statement

Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e‑mail their request to [e-mail].