W2 | AI Architect

Job Title: AI Platform Architect

Job Location: Nashville, TN (Onsite from day one)

Job Duration: 12+ months

Minimum years of experience required: 10+ years

Type of Hire: w2 contract

Mandatory Skills

• Production GenAI experience
• Vertex AI / Gemini expertise
• Hands‑on RAG architecture
• Vector/embedding pipelines

• Lead the design, development, and implementation of scalable, enterprise‑grade Generative AI solutions on the Google Cloud Platform, focusing on Vertex AI.
• Architect and build sophisticated Retrieval‑Augmented Generation (RAG) systems to ground large language models in proprietary and domain‑specific data, ensuring response accuracy and relevance.
• Design and implement efficient data pipelines for preparing, processing, and embedding data for use in Vector Stores like Vertex AI Vector Search.
• Develop and apply innovative data‑grounding strategies and design the necessary data structures to connect LLMs with real‑world, real‑time information sources.
• Spearhead the exploration and implementation of Agentic AI concepts to create autonomous systems capable of complex reasoning and task execution.
• Champion and integrate the Model Context Protocol to standardize communication between LLMs and external tools, enhancing system capabilities and interoperability.
• Promote a collaborative team environment and work closely with colleagues to achieve business objectives.
• Collaborate with stakeholders—including business stakeholders, product owners, project managers, and end users—to understand functional and non‑functional requirements for AI systems.
• Lead investigations and solution proposals for complex development and design problems in the AI domain.
• Guide team members in scope‑of‑work estimation and forecasting for AI‑related projects.
• Perform proof‑of‑concept and proof‑of‑technology tasks to secure buy‑in from cohorts and stakeholders for new AI initiatives.
• Collaborate with team members to successfully execute development initiatives using Agile practices and principles.

• Bachelor’s degree in Computer Science or a related field.
• 8+ years of experience in software development or engineering roles.
• Demonstrable experience delivering Generative AI applications to production in a customer‑facing or enterprise environment.

• Growth mindset and a willingness to learn new skills, technologies, and frameworks in the rapidly evolving AI field.
• Advanced knowledge and hands‑on experience with GCP Vertex AI, including its generative AI models (e.g., Gemini) and Vertex AI Studio.
• Deep understanding and practical experience in designing and building Retrieval‑Augmented Generation (RAG) architectures.
• Experience with Dev Ops tooling (e.g., Git Hub, Azure Dev Ops) and CI/CD for machine learning (MLOps).
• Experience with diagramming tools (e.g., Visio).
• Strong experience in cloud‑native development, serverless solutions, and/or container‑based solutions.
• Knowledge of the Model Context Protocol and its application in enabling LLMs to interact with external tools and data.
• Familiarity with Agentic AI concepts and frameworks (e.g., Lang Chain) for building autonomous and multi‑agent systems.
• Experience interfacing with or working within CRM, ERP, eCommerce, or EMR/EHR solutions and common integration patterns.
• Strong understanding of agile methodology and software development life cycles.
• Demonstrated ability to communicate complex technical information concisely to various stakeholders verbally and in writing.
• Ability to lead community events focused on software development or delivery.
• Excellent problem‑solving and analytical skills.
• Ability to sit for long periods of time.