AI Solutions Architect; AWS

About the Role

Provectus is a global AI and cloud consulting company helping enterprises turn artificial intelligence and data into production-ready business solutions. We specialize in designing, building, and scaling end-to-end AI/ML systems, data platforms, and cloud-native architectures, with strong expertise in AWS, MLOps, and enterprise-grade AI delivery
. As an official Anthropic partner
, we work with cutting-edge foundation models to help organizations safely and effectively adopt advanced AI capabilities, serving clients across finance, healthcare, retail, and technology.

As an ML Solutions Architect
, you will serve as the technical bridge between clients and our delivery teams. You will own the full pre‑sales cycle — from leading discovery sessions and designing scalable ML and agentic AI architectures to crafting compelling proposals that win new business. This is a highly client‑facing, senior‑level role requiring deep technical expertise in ML and agentic systems, strong business acumen, and the ability to influence both technical and executive stakeholders across global accounts.

• Lead technical discovery sessions with prospective clients to understand business problems and translate them into feasible ML solutions
• Design end‑to‑end ML architectures and author technical proposals, including scope, timeline, cost, and resource estimates
• Create and deliver compelling technical presentations and demonstrations to both technical and non‑technical audiences
• Support General Managers in winning new business through technical leadership

• Architect agentic AI solutions leveraging autonomous decision‑making, tool orchestration, and LLM‑based workflows
• Design MCP (Model Context Protocol) integration strategies for client environments
• Evaluate and recommend appropriate agent frameworks (Lang Graph, Claude Agent SDK, and others) based on client use cases
• Develop reference architectures for common agentic patterns including RAG agents, multi‑agent systems, and tool‑using agents
• Build POC demonstrations showcasing agentic capabilities using AI‑assisted development tools
• Advise clients on build‑vs‑buy decisions for agentic components and assess Agent Ops requirements including monitoring, evaluation, and cost optimization

• Serve as the primary technical point of contact throughout the project lifecycle
• Manage technical stakeholder expectations and navigate complex organizational dynamics
• Build long‑term trusted advisor relationships with clients

• Collaborate with delivery teams to ensure smooth project handoffs
• Provide technical guidance during project execution
• Contribute to reusable solution patterns, agentic accelerators, and Provectus AI toolkit documentation
• Mentor engineers on client communication and solution design

• 6–8+ years of demonstrated experience in ML or data science roles
• Proven track record in client‑facing technical roles, including leading pre‑sales or discovery engagements
• Portfolio of successfully architected and delivered ML solutions with a history of winning business through technical leadership
• Deep understanding of the full ML lifecycle from data ingestion through production deployment
• Experience designing scalable, production‑grade ML architectures across multiple ML domains (RAG, Computer Vision, Time Series, Recommendation Systems, and others)
• Strong experience architecting LLM‑based applications, including agentic systems
• Proficiency with agent design patterns, state management, and orchestration frameworks (Lang Graph, Lang Chain agents, multi‑agent systems)
• Hands‑on experience with the Claude ecosystem:
  Claude Code, Claude Agent SDK, and Anthropic's tool ecosystem
• Working knowledge of Model Context Protocol (MCP) architecture for designing client integrations
• Demonstrated use of AI‑assisted development tools (Cursor, Git Hub Copilot, Claude Code) for rapid prototyping and POC development
• Advanced knowledge of AWS ML and data services including Sage Maker, Bedrock, Lambda, and ECS
• Deep understanding of Amazon Bedrock…