Senior AI Solutions Architect, AWS

🕒 June 19

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Provectus

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

📋 Description

• 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 (LangGraph, 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 AgentOps 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

🎯 Requirements

• 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 (LangGraph, LangChain 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, GitHub Copilot, Claude Code) for rapid prototyping and POC development • Advanced knowledge of AWS ML and data services including SageMaker, Bedrock, Lambda, and ECS • Deep understanding of Amazon Bedrock agents, knowledge bases, and model hosting options • Experience with serverless architectures (Lambda, API Gateway, Step Functions) for agentic workflows • Knowledge of MLOps, LLMOps, and AgentOps practices including monitoring, evaluation, and cost optimization • Ability to design cost-effective solutions with clear TCO analysis and trade-off assessment • Understanding of data security, privacy, and compliance requirements • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent experience with a demonstrable technical foundation

🏖️ Benefits

• Remote-first environment with flexible working hours aligned to your local time zone • Competitive salary reflecting client-facing expertise • A budget for your medical insurance • Paid sick leave, vacation, and public holidays • Clear career path toward Practice Leadership or Principal Architect roles • High-visibility role with exposure to diverse global clients and business challenges • Internal training programs covering Leadership, Public Speaking, and technical certifications • Full support for AWS and other professional certifications • Learning budget and conference attendance • Access to the latest AI tools and subscriptions for professional development • Opportunity to work with cutting-edge ML, LLM, and agentic AI technologies • Opportunity to contribute to innovative AI-driven solutions for clients across LATAM, Europe, and North America • Work alongside experienced experts in AI, Data, and Cloud technologies • Equipment and all the tools you need to work productively