Senior AI Developer

Flex is the diversified manufacturing partner of choice that helps market-leading brands design build and deliver innovative products that improve the world.

A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful inclusive and collaborative environment. If you are excited about a role but dont meet every bullet point we encourage you to apply and join us to create the extraordinary.

Job Summary

To support our extraordinary teams who build great products and contribute to our growth were looking to add a Technical Lead - AI Automation located in Chennai location.

Should be open to support in night shift whenever required.

Reports to the Senior Manager and the role involves

What a typical day looks like:

AI Vision & Project Leadership

• Define Enterprise Vision: Establish the strategic roadmap to transition operations from legacy spreadsheet methods to a vision-driven AI-first ecosystem.

• Drive End-to-End Delivery: Architect build and execute complete production-grade AI project pipelines from initial data extraction to cloud deployment.

• Provide Technical Stewardship: Serve as the hands-on technical authority writing clean scalable Python code and reviewing architecture to ensure engineering excellence.

Legacy Migration & Scale

• Deconstruct Legacy Systems: Reverse-engineer map and dismantle over 700 legacy Excel-based automation tools and VBA macros.

• Orchestrate Mass Migration: Re-platform legacy systems into centralized scalable cloud-native AI workflows without disrupting day-to-day operations.

• Establish BPA Standards: Implement standardized Business Process Automation (BPA) methods error-handling frameworks and transaction logging across all new solutions.

Engineering Data Engineering & Automation

• Automate Technical Datasets: Design automated pipelines to ingest parse and process complex technical engineering data from disparate formats.

• Execute Data Scrubbing: Architect algorithmic data cleansing validation and deduplication workflows using advanced Python data libraries.

• Perform Complex Manipulation: Build high-performance ETL pipelines using Pandas and NumPy to transform raw technical files into structured datasets ready for AI ingestion.

Intelligent Automation & MS Office Integration

• Deploy Intelligent Mail Workflows: Implement Large Language Models (LLMs) to scan comprehend categorize and execute autonomous decisions on high volumes of incoming Outlook emails.

• Deeply Integrate Office Tools: Build seamless programmatic bridges between cloud AI services and desktop Microsoft Office products like Excel and Outlook.

• Leverage Cloud AI Ecosystems: Utilize cloud Co-pilot platforms and OpenAI API services (including function calling and embeddings) to execute multi-agent enterprise automation.

The experience were looking to add to our team:

• Bachelors degree in computer engineering or related field

• Specialist: 812 years Hybrid AI Engineer and Automation Architect who bridges the gap between legacy corporate workflows and cutting-edge GenAI capabilities.

• Highly technical AI Specialist to drive our engineering data automation strategy. how will lead the transition of our legacy infrastructure by replacing over 700 Excel-based automation tools with advanced Python-driven AI solutions.

• This hands-on role requires an expert who can leverage Cloud Co-pilots OpenAI API services and Large Language Models (LLMs) to extract and scrub complex datasets automate MS Office process / workflows and implement intelligent AI-driven decision-making systems.

AI & LLM Architecture (Expert)

• API Frameworks: OpenAI API (GPT models Function Calling Assistants API).

• AI Concepts: Prompt engineering RAG (Retrieval-Augmented Generation) agentic workflows embeddings and fine-tuning.

• Orchestration: Multi-agent systems (e.g. mail comprehension/decision-making).

Python & Data Engineering (Expert)

• Core Language: Production-grade scalable clean Python code.

• Data Manipulation: Advanced Pandas NumPy and SciPy for complex engineering data.

• Data Cleansing: Expert-level knowledge in data parsing regex validation extraction and automated data scrubbing/deduplication.

Microsoft Ecosystem & Integration (Advanced)

• Excel Automation: Programmatic manipulation via OpenPyXL XlsxWriter or Pandas.

• Outlook/Office Integration: Win32com Microsoft Graph API or O365 libraries for reading/routing emails.

• Cloud Infrastructure: Cloud Co-pilots Azure AI Studio AWS Bedrock or Open AI.

Process Automation (Advanced)

• BPA Methods: Event-driven architecture state machines error handling and transaction logging.

• Legacy Decoupling: Ability to reverse-engineer Excel VBA/Macros into modern Python/Cloud microservices.

Here are a few examples of what you will get for the great work you provide:

• Health Insurance

• PTO

NK99

Job Category

Required Skills:

Optional Skills:

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit qualifications and abilities. We do not discriminate based on: age race religion color sex national origin marital status sexual orientation gender identity veteran status disability pregnancy status or any other status protected by law. Were happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email and well discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex you must complete the application process first).