Forward Deployed AI Engineer

TE Connectivity Corporation; Bengaluru; On-site; INR 700,000 - 1,200,000; Full time

Benefits offered by this job

Competitive Salary Package

Performance-Based Bonus Plans

Health and Wellness Incentives

Employee Stock Purchase Program

Community Outreach Programs / Charity

Employee Resource Group

Job summary

TE Connectivity is seeking an AI-enabled strategy professional to accelerate research, market intelligence, and GTM analysis. You will partner with business, product, commercial, and tech teams to translate questions into actionable insights using AI workflows and scalable solutions.

You will lead AI-augmented research, model TAM/SAM/PAM, and support M&A pipelines while coaching teammates on prompting techniques and AI workflows.

Qualifications

• BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.
• 3–4+ years of experience in AI transformation, analytics, or AI-enabled business building.
• Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate/product strategy team preferred.
• Demonstrated experience building or deploying 0–1 AI solutions, GenAI, analytics, automation, or workflow solutions in a business environment.
• Proficiency in Excel and PowerPoint; Python scripting; DevOps, CI/CD pipelines, and infra as code (Jenkins, Docker, Kubernetes).
• Knowledge of enterprise data environments (SAP, Databricks) or cloud platforms (AWS) is a plus; experience integrating AI systems with enterprise data platforms.

Responsibilities

• Strategic problem solving and driving cross-functional execution.
• Identifying AI opportunities and deploying scaled AI solutions quickly.
• Executing rapid AI-augmented research and competitive intelligence.
• Support strategy team with AI-led tools for market sizing and TAM/SAM/PAM modelling.
• Coach strategy team on prompting techniques and AI workflows.
• Stay current on AI stacks, multimodal models, and deep research agents.

Skills

AI strategy

Stakeholder management

Executive presence

Problem solving

Education

BE / B-Tech in CS or Data Science

MBA / MS preferred

Tools

Excel

PowerPoint

Python

Jenkins

Docker

Kubernetes

AWS Bedrock

Databricks

Job description

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Description:

Job Overview

The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.

The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact. The individual is expected to work in close partnership with TE’s IT team, to leverage existing AI & data capabilities on Databricks & AWS (where applicable) while developing solutions.

Job Responsibilities:

Strategic problem solving and driving cross-functional execution

• Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation
• Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&L owners
• Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses

Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace

• Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions
• Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)
• Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes

Executing rapid AI-augmented research and competitive intelligence

• Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights
• Synthesize structured datasets (S&P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs

Support strategy team in day-to-day execution by leveraging AI-led tools

• Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling
• Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&Ls, pricing
• Support M&A pipeline by AI-screening targets and generating investment theses

AI enablement, coaching and continuous innovation

• Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution
• Scale AI adoption across Corporate Strategy through hands‑on mentorship of beginner users
• Stay current on agentic stacks, multimodal models, and deep research agents

Desired Candidate Profile:

Skillset and capabilities

AI fluency and hands‑on deployment orientation

• Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.
• Proven ability to convert business problems into reusable AI workflows, tools, or accelerators
• Builder mindset with experience prototyping AI solutions using frontier tools & low‑code platforms

Analytics, modelling, and research excellence

• Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.
• Ability to synthesize structured datasets with unstructured sources
• Research discipline – source triangulation and rigorous validation of AI outputs

Strategic problem solving, communication, executive presence, and influence

• Sharp “so-what” orientation to translate AI outputs into practical executive decisions
• Crisp written and verbal communication, with ability to frame board‑ready narratives
• Skill in explaining AI workflows and implications to both technical and non‑technical audiences
• Stakeholder management across strategy, commercial, data, and technology teams

Ownership, and execution

• Independently own workstreams end‑to‑end – from framing through deployment
• High bar for quality; never publishes unchecked AI outputs or unvalidated analysis

Coaching and capability building

• Patience and ability to coach colleagues on prompting, research workflows, and source validation
• Track record of building reusable playbooks – templates and training modules that scale adoption

Passion, curiosity, and learning agility

• Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools
• Entrepreneurial ownership mindset and drive to build a new AI‑enabled strategy capability

Qualifications:

• BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.
• 3–4+ years of experience in AI transformation, analytics, or AI‑enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.
• Experience in a top‑tier strategy consulting firm, AI‑native consulting team, analytics firm or corporate / product strategy team role strongly preferred.
• Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.
• Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.
• Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.
• Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.
• Experience withLLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI‑enabled knowledge management is strongly preferred.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next‑generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well‑being of our employees is our top priority!

Competitive Salary Package
Performance‑Based Bonus Plans
Health and Wellness Incentives
Employee Stock Purchase Program
Community Outreach Programs / Charity Events
Employee Resource Group

Job Locations:

Job Country: India

Travel Required: Less than 10%

Workplace Type: Onsite

External Careers Page: Strategy, Business Development & M&A