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Provectus

We help businesses leverage cloud, data, and AI to reimagine the way they operate, compete, and deliver customer value.

Senior AI Solutions Architect, AWS

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 501-1,000Since 2012H1B SponsorCompany SiteLinkedIn

Location

Colombia

Posted

2 days ago

Salary

0

Seniority

Senior

Bachelor Degree6 yrs expEnglishAWS

Job Description

Senior AI Solutions Architect, AWS

Provectus

• 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

Job 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

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