Sr. AI & Enablement Lead

Future Secure AI; Austin (TX); Sur place; USD 120 000 - 150 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Flexible work environment

High-performance culture

Résumé du poste

A leading AI solutions provider based in Austin, Texas, is seeking an AI Enablement & Quality Lead to drive the adoption of AI across the organization. The ideal candidate will have over 5 years in technical enablement with a focus on LLMs and a proven track record in designing and delivering effective training programs. In this role, you will lead the development of autonomous AI agents and identify valuable AI use cases, ensuring the effective integration of AI technologies throughout the company.

Qualifications

• 5+ years of experience in technical enablement or a similar role focused on emerging technologies.
• Proven experience building with LLMs, strong knowledge of prompt engineering.
• Excellent communication skills, both written and verbal.

Responsabilités

• Lead the development of autonomous AI agents and workflows.
• Design and deliver comprehensive training programs for upskilling teams.
• Identify high-potential AI use cases to drive ROI.

Connaissances

Technical enablement

Prompt engineering

Software development principles

Training program design

Problem-solving

Outils

AWS

Azure

GCP

LangChain

Description du poste

Opportunity

As our AI Enablement & Quality Lead, you’ll be the central force driving adoption of AI throughout the organization. You won’t just be teaching people about AI, you’ll be equipping them to build with it, fostering a culture of AI‑driven innovation. You will build the scaffolding to enable self‑service Agentic workflows, with a focus on high‑impact applications across Engineering, QA, Data Science, and AI Engineering. This role requires a blend of technical depth, instructional design, and a passion for helping others succeed in the exciting world of generative AI.

What You’ll Do

• Champion Agentic Development: Lead the charge in building internal expertise in developing and orchestrating autonomous AI agents, going beyond simple LLM use to architect sophisticated, self‑directed workflows.
• Curriculum Architect & Delivery: Design, develop, and deliver comprehensive training programs, including tailored curricula, practical playbooks, hands‑on labs, and effective pair programming sessions, to upskill teams across multiple functions.
• LLM & Tool Expertise: Be the resident expert on Large Language Models, with a deep understanding of prompt engineering techniques, agentic workflow design, and integration with tools like LangChain and similar orchestration frameworks. Specific experience with Claude Code (skills development, configuration) is highly desired.
• Workflow Identification & ROI Focus: Proactively identify high‑potential AI use cases within the enterprise, prioritizing those with the greatest potential for return on investment and impact on key business objectives. Focus on tangible value creation.
• Enable Self‑Service AI: Build reusable components, templates, and best practices to lower the barrier to entry for AI development and allow teams to independently build and iterate on Agentic solutions.
• Quality & Refinement: Establish methodologies to assess and improve the quality and performance of Agentic workflows, ensuring they meet our standards for reliability and effectiveness.
• Bridge the Gap: Serve as a technical translator between AI Engineering teams and functional groups, fostering clear communication and collaboration.

What You Bring

• Experience: 5+ years of experience in a technical enablement, consulting, solutions architecture, or similar role focused on emerging technologies.
• LLM Mastery: Proven, practical experience building with LLMs – not just using them. Deep knowledge of prompt engineering, agent frameworks, and integration patterns.
• Technical Foundation: Strong understanding of software development principles and cloud platforms (AWS, Azure, GCP). Experience with API integrations and data pipelines is a plus.
• Training Prowess: Demonstrated ability to design and deliver engaging, effective technical training programs.
• Platform Background (Highly Desired): Prior experience as a Solutions Architect at leading AI platforms like Anthropic, AWS (SageMaker, Bedrock), or similar is a significant advantage.
• Problem Solver: A proactive, results‑oriented individual with a knack for identifying opportunities and solving complex challenges.
• Communication Skills: Excellent written and verbal communication skills with the ability to explain technical concepts to both technical and non‑technical audiences.

Bonus Points

• Experience with MLOps practices and tools.
• Contributions to open‑source AI projects.
• Familiarity with responsible AI principles and best practices.

Why Join Us?

• A high‑performance culture
• State‑of‑the‑art technology
• Experience world‑class leadership
• Scale of impact and purpose
• A competitive salary and a huge growth trajectory
• Work with the best in the industry
• Flexible work environmentDiversity and creativity