Forward Deployed - AI Solutions Architect (GenAI & Agentic AI)

ShyftLabs

2d

About The Position

ShyftLabs is seeking an experienced AI Solutions Architect focused on Generative AI and agentic AI to lead the design and delivery of enterprise-grade AI solutions for Fortune 500 clients. This highly client-facing role combines technical expertise, solution architecture, stakeholder engagement, and hands-on development. The architect works with enterprise clients, business stakeholders, engineering teams, and technology partners to translate complex business requirements into practical AI architectures and production-ready applications.

The role defines technical strategies, architects agentic workflows, evaluates partner solutions, and ensures AI applications meet enterprise standards for scalability, security, reliability, performance, and cost efficiency. It involves moving between client discovery sessions, architecture reviews, code assessments, and production implementation, while communicating technical concepts to both technical and non-technical audiences.

Requirements

• At least 8 years of overall experience in software engineering, solution architecture, AI/ML engineering, or related technical roles.
• At least 2 years of hands-on experience developing Generative AI applications and LLM-powered solutions.
• Demonstrated experience designing and building AI agents, agentic workflows, and multi-agent applications.
• Strong practical knowledge of LLMs, RAG architectures, embeddings, vector databases or vector search, prompt engineering, and tool/function calling.
• Experience processing unstructured data, including PDFs, documents, OCR outputs, images, and other enterprise content.
• Strong Python development skills, including API development, integration patterns, debugging, and software engineering best practices.
• Experience with AI application frameworks such as LangChain, LangGraph, or equivalent agent orchestration technologies.
• Familiarity with Databricks AI capabilities, particularly AI Functions, AI Search/Vector Search, Model Serving, and MLflow.
• Experience with AI evaluation frameworks, hallucination testing, guardrails, human-in-the-loop patterns, and AI observability.
• Ability to assess AI architecture proposals, review code and agent workflows, and provide actionable technical recommendations.
• Experience deploying AI applications into production, including scalability, security, monitoring, and cost optimization considerations.
• Strong communication and presentation skills, including the ability to explain technical concepts, trade-offs, and recommendations to enterprise clients.
• Ability to work collaboratively with client stakeholders, technology partners, and multidisciplinary engineering teams.

Responsibilities

• Partner with enterprise clients to understand business objectives, identify AI opportunities, and translate requirements into scalable GenAI and agentic AI solutions.
• Lead technical discovery sessions, architecture workshops, and solution design discussions with client stakeholders and cross-functional teams.
• Design end-to-end AI architectures encompassing LLM integration, RAG, agent orchestration, data processing, APIs, and enterprise system integration.
• Develop solution blueprints, technical specifications, architecture diagrams, and implementation roadmaps aligned with client requirements and business outcomes.
• Present technical recommendations, architectural trade-offs, and implementation strategies to technical teams and executive stakeholders.
• Evaluate third-party and partner-proposed AI solutions, assessing architecture, agent workflows, implementation quality, scalability, and alignment with enterprise standards.
• Design and build enterprise GenAI applications using LLMs, RAG, embeddings, vector search, prompt engineering, and tool/function calling.
• Architect and implement AI agents, multi-agent systems, and agentic workflows for complex, multi-step business processes.
• Develop intelligent workflows integrating LLMs with enterprise APIs, databases, business applications, and external tools.
• Build solutions for unstructured data processing, including document and PDF extraction, OCR, image processing, classification, information retrieval, and summarization.
• Develop and maintain Python services, API integrations, and reusable components for reliable AI application development.
• Use AI development frameworks such as LangChain, LangGraph, or equivalent technologies for orchestration, state management, and tool-enabled workflows.
• Apply AI-assisted and specification-driven development practices while maintaining code quality, testability, and architectural consistency.
• Design and implement AI solutions using enterprise data platforms, including relevant Databricks AI capabilities.
• Integrate structured and unstructured enterprise data into AI applications while accounting for data quality, access controls, governance, and security.
• Define patterns for model selection, deployment, inference, retrieval, and integration with enterprise technology ecosystems.
• Collaborate with data engineering, cloud engineering, and software development teams to integrate AI solutions with enterprise platforms and production systems.
• Establish evaluation strategies for accuracy, relevance, groundedness, hallucination rates, tool-use effectiveness, latency, and cost.
• Implement guardrails, responsible AI controls, human-in-the-loop workflows, and fallback mechanisms.
• Define testing and observability practices to monitor agent execution, model behavior, workflow performance, and production issues.
• Review solution designs and code for quality, maintainability, scalability, security, and operational readiness.
• Identify opportunities to optimize model selection, prompt design, retrieval strategies, inference performance, and operating costs.
• Support production deployment, troubleshooting, continuous improvement, and transition of AI solutions into sustainable enterprise operations.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed