Forward Deployed AI Engineer
TE Connectivity5 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Translate business and strategic questions into actionable, AI-assisted analyses and executive decisions.
- Identify, prioritize, design, and deploy scalable AI and automation solutions for strategy workflows.
- Build reusable AI-enabled workflows, agents, templates, modules, playbooks, and accelerators for activities such as competitor monitoring, earnings tracking, regulatory intelligence, and voice-of-customer analysis.
- Lead AI-augmented research, competitive intelligence, market sizing, opportunity mapping, and TAM/SAM/PAM modeling.
- Perform scenario and sensitivity analysis, valuation, NPV/IRR analysis, segment P&L analysis, and pricing analysis.
- Support M&A by screening targets with AI and generating investment theses.
- Integrate AI systems with enterprise data platforms and collaborate with business, product, commercial, technology, IT, and P&L stakeholders.
- Coach strategy team members on prompting, research workflows, source validation, and AI-fluent execution.
- Independently own workstreams from problem framing through solution deployment and maintain rigorous validation of AI outputs.
Requirements
- Bachelor of Engineering or Bachelor of Technology in Computer Science Engineering, Data Science, or a related analytical field is required; an MBA, MS, M-Tech, or equivalent advanced degree is strongly preferred.
- At least 3–4+ years of experience in AI transformation, analytics, or AI-enabled business building is required.
- Demonstrated experience building or deploying 0–1 AI, GenAI, analytics, automation, or workflow solutions in a business environment is required.
- Working knowledge of LLM capabilities and limitations, prompt design, reusable AI workflows, and frontier AI tools is required.
- Strong skills in TAM/SAM/PAM modeling, scenarios, sensitivities, NPV/IRR, valuation, research synthesis, and source triangulation are required.
- Experience integrating AI systems with enterprise data platforms is required.
- Experience with DevOps, CI/CD pipelines, and infrastructure as code, including tools such as Jenkins, Docker, and Kubernetes, is required.
- Proficiency in Excel and PowerPoint is required; Python or equivalent scripting capability is strongly preferred.
- Proficiency implementing AI platforms such as AWS Bedrock, LangGraph, Crew AI, and Glean is required.
- Experience with enterprise data environments such as SAP and Databricks or cloud platforms such as AWS is a plus.
- Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge management is strongly preferred.
- Prior Forward Deployed Engineer, Solutions Architect, or Senior Data Scientist experience and experience in strategy consulting, analytics, or corporate/product strategy are strongly preferred.
- Strong communication, executive presence, stakeholder management, coaching, ownership, and ability to explain AI workflows to technical and non-technical audiences are required.
Benefits
- Competitive salary package and performance-based bonus plans are offered.
- Health and wellness incentives, an employee stock purchase program, community outreach programs, charity events, and employee resource groups are offered.
- Benefits and package details may vary by site and may be provided by TE Connectivity or external service providers.
Tech Stack
Categories
Forward Deployed
About TE Connectivity
TE Connectivity designs and manufactures connectors, sensors, and interconnect systems used by automotive, industrial, energy, aerospace, data center, and medical OEMs. It sells these components and related engineering services to equipment makers and system integrators worldwide, supporting applications from e-mobility and factory automation to communications infrastructure. The company is publicly traded as TE Connectivity plc (NYSE: TEL) and was previously known as Tyco Electronics after its 2007 separation from Tyco International.