AI Automation - Technical Lead

About the role

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 don't 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, we're 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 we're looking to add to our team: Bachelor's degree in computer engineering, or related field Specialist: 8-12 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 Production Engineering Required Skills: Optional Skills: Flex pays for all costs associated with the application, interv

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