AI Solutions Lead
About The Position
The AI Delivery Lead is a hands‑on builder and program lead responsible for delivering high value AI solutions. The role stands up an intake and delivery engine for LLM/agentic and ML‑augmented solutions, partners closely with data scientists, data engineers and data governance for solution deployment, and scales adoption through a Community of Practice and leader enablement. This position reports to the VP, Data & Analytics. Experience is Everything. At LCS, experience is everything. We provide you the opportunity to use your talents in a progressive, growing organization that makes a positive difference in the lives of the seniors we serve. If you are seeking an organization that gives back, you’ll love working here. Our principles and hospitality promises define our company culture. LCS employees can be found participating in volunteer activities, getting involved in our committees or collaborating with team members in our innovative workspace. You’ll find several opportunities to grow as a professional, serve the community, and enhance the lives of seniors.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Machine learning, or related field; or equivalent experience.
- 5+ years designing and building AI/ML products with measurable business impact.
- Hands on experience with modern LLM/agent frameworks (retrieval/RAG, tool use, reasoning frameworks, prompt design) and ML techniques.
- Experience partnering closely with data science, data engineering and governance to take solutions end-end.
- Strong product skills: intake, prioritization stakeholder communication, and value tracking.
- Proficiency with Python and common AI/ML libraries; grounding in AI and MLOps practices.
- Hands‑on developing AI/ML solutions on cloud platforms.
- Expertise in LLM prompt engineering, tuning and evaluation to tailor models for business needs.
- Hands-on experience with retrieval-augmented generation (RAG) architectures, including vector databases, embedding strategies, and retrieval optimization.
- Demonstrated experience building AI agents using both programmatic frameworks (SDK-based, API-driven) and low-code orchestration platforms.
- Ability to translate ambiguous business problems into scoped, testable use cases with clear value hypotheses and success criteria.
- Strong communication; able to tell the story of value to technical and non‑technical stakeholders.
- Practical understanding of ML techniques, experimental design and model evaluation.
Nice To Haves
- Graduate degree preferred.
Responsibilities
- Design, build, and scale AI solutions (LLM/agentic applications; ML solutions) with clear exit criteria.
- Partner with data science, data engineering, security, and governance to ensure the data, platforms and guardrails are AI-ready.
- Stand up and run intake for AI agents/use cases; maintain a transparent backlog. Drive prioritization decisions ensuring each effort has a clear scope and value.
- Lead the AI Community of Practice (COP); publish playbooks/templates; enable safe no‑/low‑code patterns.
- Define and maintain KPIs (hours saved, adoption/utilization, cycle‑time, quality/error rates, business outcomes)
- Conduct discovery with business stakeholders to identify processes ripe for assist/augment/automate outcomes.
- Partner closely with IT to integrate AI capabilities (summarization, synthesis, classification) into systems of engagement.
Benefits
- Competitive pay, great benefits and vacation time.
- medical
- dental
- life insurance
- disability
- 401(K) with company match
- paid parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
