AI Specialist (Technical)
Bechtel View all jobs
- Gurgaon, Haryana
- Permanent
- Full-time
- Relocation Authorized: None
- Telework Type: Full-Time Office/Project
- Work Location: Gurugram
- 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: 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.
- 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.
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