Applied Ai Engineer - Engineering Intelligence (Chennai)

Company: Ford Motor
Job Location: Chennai, Tamil Nadu, India
Employment Type: Full time
Experience Required: 2 - 5 years

Job ID

66862
Category
PD Operations and Quality
Location
Chennai, India
Work Type
Hybrid

As an AI Engineer specialising in engineering simulation intelligence, you will design and deploy intelligent agent-based systems that integrate with CAE environments. You will work at the intersection of AI, simulation engineering, and data platforms to automate workflows, improve decision accuracy, and unlock insights from large-scale simulation data.

This is a highly cross-functional role involving collaboration with simulation engineers, software teams, and data scientists.

Responsibilities

Agentic AI System Development

Design and deploy multi-agent AI systems to orchestrate simulation workflows end-to-end
Build LLM-powered agents with capabilities such as planning, memory, and tool usage
Develop scalable agent orchestration pipelines using frameworks like Lang Graph, Auto Gen, CrewAI, or similar

Integration & Engineering Systems

Integrate AI agents with simulation tools (e.g., meshing, solvers, data systems)
Connect with external APIs, databases, and internal engineering platforms
Build production-ready AI systems for real-world engineering environments

RAG & Knowledge Systems

Develop Retrieval-Augmented Generation (RAG) pipelines using simulation data and technical documentation
Implement vector databases and embedding models for domain-specific knowledge retrieval

Performance & Reliability

Monitor, debug, and optimise agent performance, latency, and cost




Define evaluation frameworks to measure accuracy, reliability, and safety of AI decisions
Implement guardrails to mitigate hallucination and failure scenarios

Cross-Functional Collaboration

Work closely with CAE and mechanical engineers to translate requirements into AI solutions
Communicate complex AI concepts clearly to non-AI stakeholders

Education

Bachelors or Masters in Computer Science, AI, Data Science, or related field

Experience

2-5 years of hands-on experience in AI/ML or applied AI engineering
Experience building end-to-end AI systems (not just experimentation)
Exposure to LLMs and AI agents in production environments

Technical Skills (Must-Have)

Robust Python programming skills
Experience with LLMs (OpenAI, open-source models, etc.)
Understanding of agent-based systems and tool integration
Experience with APIs, microservices, and system integration
Familiarity with cloud platforms (preferably GCP)
Knowledge of software engineering best practices (testing, version control)

Preferred Skills (Good to Have)

Experience with agent frameworks (Lang Chain, Lang Graph, Auto Gen, CrewAI, Semantic Kernel)
Knowledge of RAG architectures and vector databases (Pinecone, ChromaDB, etc.)
Familiarity with MLOps tools (Docker, CI/CD, model serving frameworks)
Experience with structured outputs and function calling
Exposure to CAE/FEA tools (ANSYS, Abaqus, LS-DYNA)

Core Competencies

Agentic system design (planning, memory, orchestration)
Prompt engineering and LLM optimisation
Reliability engineering and AI safety practices
Strong analytical thinking and problem-solving
Effective cross-functional communication .

📌 Applied Ai Engineer - Engineering Intelligence (Chennai)
🏢 Ford Motor
📍 Chennai