- Company Name
- Mission Staffing
- Job Title
- AI Solutions Lead
- Job Description
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**Job title:** AI Solutions Lead
**Role Summary:**
Lead the design, development, and production deployment of AI‑driven applications that enhance investment research, portfolio operations, and internal business workflows. Own the end‑to‑end delivery of LLM‑based solutions, from proof‑of‑concept to scalable, monitored services, while ensuring compliance, security, and measurable ROI.
**Expactations:**
- Rapid prototyping and iterative validation of AI concepts.
- Transition from prototype to production with robust monitoring and automation.
- Collaboration with business, security, and risk teams to embed safeguards.
- Continuous assessment of vendor solutions and recommendation of build vs. buy strategies.
**Key Responsibilities:**
- Design and implement LLM‑based systems (RAG, agent workflows, structured outputs) using enterprise AI platforms (ChatGPT Enterprise, Microsoft Copilot, Perplexity).
- Build secure retrieval pipelines for internal knowledge bases, respecting permissions and compliance.
- Create production‑ready APIs and deploy through CI/CD pipelines with automated rollback.
- Conduct vendor pilots, evaluate cost, scalability, and risk, and present solution recommendations.
- Apply LLMOps best practices: prompt versioning, evaluation datasets, testing frameworks, monitoring, and rollback strategies.
- Partner with investment and business stakeholders to map workflows, identify automation opportunities, and quantify ROI.
- Work with security, risk, and compliance teams to establish prompt injection prevention and data‑leakage controls.
**Required Skills:**
- Hands‑on experience building and deploying LLM/AI applications.
- Expertise in Microsoft ecosystem (Power Apps, Power Automate, Dataverse, Power BI) and Azure AI services (Azure OpenAI, Bot Framework).
- Familiarity with LLM evaluation, embeddings, retrieval pipelines, and agentic workflows.
- Proficient in REST APIs, CI/CD, automated testing, and monitoring tooling.
- Strong communication skills to translate technical solutions to business value.
- Ability to work in cloud environments (Azure) with modern architecture patterns.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
- Relevant certifications (e.g., Microsoft Certified: Azure AI Engineer, AWS Certified Machine Learning) are advantageous.
New york city, United states
Hybrid
Senior
03-03-2026