# FPT Americas — Technical Lead - Generated: 2026-09-01 10:22:02 AM EDT - Original/canonical posting: https://www.linkedin.com/jobs/view/4460209445/ - User-provided LinkedIn posting: https://www.linkedin.com/jobs/view/4460209445/ - Posting time: approximately 2026-08-31 11:47 PM EDT (estimated from LinkedIn's '10 hours ago' at capture) - Applicants: Be among the first 25 applicants - Work model/location: United States; remote status is not explicitly verified in the posting; LinkedIn location: United States - Compensation: Not disclosed; the non-Director title does not qualify under the missing-compensation exception - Travel: Not disclosed - Positioning track: Technical manager - Fit outcome: FAIL — 89% evidence coverage; application-material generation explicitly overridden by Keith on 2026-09-01 ## Direct-match strengths AI/data architecture, production ML and GenAI, data engineering, cloud analytics, RAG, vector databases, MLOps, AWS, Databricks, Snowflake, Spark, Python, SQL, distributed-team leadership, consulting, and stakeholder management. ## Hard or material gaps Hard compensation-policy failure: no pay is disclosed and the title lacks Director, Senior Director, VP, or Chief. The posting also does not provide sufficient role-specific remote evidence, and supporting proposals plus account expansion add a secondary commercial caveat. ## Evidence map 1. Architecture and implementation of AI/data solutions (weight 3, evidence score 3/3) — Direct production AI, ML, data, analytics, and architecture evidence. 2. Business requirements to secure production systems (weight 3, evidence score 3/3) — Direct strategy-through-implementation evidence. 3. Data architecture, engineering, modeling, and analytics (weight 3, evidence score 3/3) — Direct data-lake, Spark, SQL, pipeline, and platform evidence. 4. GenAI, LLMs, RAG, vectors, and MLOps (weight 3, evidence score 3/3) — Direct source-supported experience. 5. AWS and modern data stack (weight 2, evidence score 3/3) — Deep AWS plus Databricks, Snowflake, Spark, Python, and SQL. 6. Distributed-team leadership and mentoring (weight 2, evidence score 3/3) — Direct teams and global technical communities. 7. Consulting and client-facing delivery (weight 2, evidence score 3/3) — Direct AWS and NorthBay evidence. 8. Compensation and work-model verification (weight 3, evidence score 0/3) — Compensation is undisclosed and remote status is not explicitly established. ## 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: https://bit.ly/3V61H41 - Cover letter: https://bit.ly/4gJzsiO - Direct resume: https://files.keithsteward.com/FPT_Americas/Keith_Steward_Technical_Lead_AI_Data_4460209445_Resume.pdf - Direct cover letter: https://files.keithsteward.com/FPT_Americas/Keith_Steward_Technical_Lead_AI_Data_4460209445_Cover_Letter.pdf - Validation: PASS under Keith's explicit override — 2-page resume (918 words), 1-page cover letter (241 words); content, PDF geometry, bounds, annotations, links, text extraction, and visual-layout files validated. - Archived JD capture: https://files.keithsteward.com/FPT_Americas/Keith_Steward_Technical_Lead_AI_Data_4460209445_JD_capture.md - Google Drive used: No