# FPT Americas — Technical Lead, AI & Data

- Generated: 2026-09-15 11:30:43 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4464007635/
- Provider: LinkedIn
- Posted: approximately 2026-09-14 03:30 PM EDT (from '20 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available
- Applicants: 68 applicants
- Work model/location: United States; remote eligibility is not stated
- Compensation: Not disclosed; Technical Lead title does not meet Keith's undisclosed-compensation exception
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: FAIL — 78%

## Direct-match strengths

AI and data architecture, data engineering, cloud analytics, production LLM/RAG/vector systems, Python, SQL, AWS, Snowflake, Spark, MLOps, distributed teams, client advisory, and delivery leadership.

## Hard or material gaps

Hard compensation-screen failure: no annual range is disclosed and the title is Technical Lead. The role also includes identifying and expanding AI/data opportunities in accounts and supporting proposals, adding a secondary sales/GTM concern.

## Evidence map

1. Architect and implement AI, data, and analytics solutions (weight 3, evidence 3/3) — Direct production AI, ML, data-platform, analytics, and architecture delivery.
2. Data architecture, engineering, modeling, and cloud analytics (weight 3, evidence 3/3) — Direct enterprise data lakes, pipelines, schemas, analytics, AWS, Spark, and Snowflake exposure.
3. Generative AI, LLMs, RAG, vectors, and MLOps (weight 3, evidence 3/3) — Direct current production evidence.
4. Lead distributed technical teams (weight 2, evidence 3/3) — Direct team and global-community leadership.
5. AWS or Azure (weight 2, evidence 3/3) — Deep AWS satisfies the stated alternative.
6. Consulting and client-facing delivery (weight 2, evidence 3/3) — Advised 200+ enterprise customers and led consulting delivery.
7. Expand opportunities and support proposals (weight 2, evidence 1/3) — Some solutioning is supported; account-growth ownership is outside Keith's target.
8. Eligible compensation evidence (weight 3, evidence 0/3) — No range is disclosed for a Technical Lead role.

## Keyword diagnostic

Strong AI/data architecture and delivery match, independently rejected by undisclosed compensation at Lead level plus account-expansion and proposal responsibilities.

## Full normalized job description

Overview
We are seeking a Technical Lead, AI & Data to lead the design, development, and delivery of enterprise AI, machine learning, and data solutions.
The ideal candidate has hands-on experience delivering multiple AI/Data initiatives at scale and can provide technical leadership to cross-functional teams. This role focuses on technical solution ownership, architecture, and engineering excellence, with delivery management serving as a supporting responsibility.
Key Responsibilities
Lead the architecture and implementation of AI, Machine Learning, Data Engineering, and Analytics solutions.
Translate business requirements into scalable, secure, and production-ready technical solutions.
Provide technical leadership across the full project lifecycle, from discovery and solution design to deployment and optimisation.
Guide teams of Data Engineers, AI/ML Engineers, Architects, and Developers.
Review solution designs, data pipelines, AI models, integrations, and cloud deployments.
Collaborate with business stakeholders, client teams, and delivery leadership to ensure successful outcomes.
Identify technical risks, dependencies, and improvement opportunities.
Support solutioning, estimation, and technical proposals for new AI/Data opportunities.
Required Qualifications
10+ years of experience in software engineering, data engineering, solution architecture, or technical leadership.
Proven experience delivering multiple AI, Machine Learning, Data Platform, or Advanced Analytics initiatives.
Strong expertise in Data Architecture, Data Engineering, Data Modelling, and Cloud-based Analytics platforms.
Experience deploying AI/ML solutions into production environments.
Hands-on experience with Azure and/or AWS data and AI services.
Strong knowledge of modern AI technologies, including Generative AI, LLMs, RAG, Vector Databases, and MLOps.
Experience leading distributed engineering teams and mentoring technical professionals.
Excellent stakeholder management and communication skills.
Preferred Qualifications
Experience with Databricks, Snowflake, Spark, Python, SQL, Azure AI, Azure OpenAI, AWS AI/ML, or similar technologies.
Experience in Manufacturing, Supply Chain, Industrial Data, or Digital Transformation programmes.
Consulting or client-facing experience.
Delivery management or programme leadership experience is a plus but not required.
What Success Looks Like
Deliver production-ready AI and Data solutions that create measurable business value.
Drive technical direction and engineering quality across multiple initiatives.
Build trusted relationships with clients and internal stakeholders.
Identify and expand AI/Data opportunities within existing and new accounts.
Title alternatives that may attract stronger candidates:
AI & Data Technical Lead
Lead AI Solutions Architect
Principal Data & AI Engineer
AI/Data Engineering Lead
AI & Data Delivery Lead
For recruiting purposes, I'd actually recommend "AI & Data Technical Lead" rather than just "Technical Lead" because it will surface more relevant candidates on LinkedIn and distinguish the role from generic software tech leads.

## Artifact metadata

- Resume: Not generated because the fit gate returned FAIL.
- Cover letter: Not generated because the fit gate returned FAIL.
- LinkedIn note: Not generated for a FAIL role.
- Google Drive used: No