AI Solutions Architect (AWS)

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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.

What You Will Do:

Pre-Sales and Solution Design

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

Agentic Solutions Architecture

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

Client-Facing Technical Leadership

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

Internal Collaboration and Delivery Enablement

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

What You Will Bring

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

Nice to Have

AWS Certifications (Solutions Architect Professional, ML Specialty)

Experience in specific industries such as Finance, Healthcare, or Retail

Knowledge of AI ethics and responsible AI practices

Experience with edge ML and IoT deployments

Published thought leadership (blogs, talks, or whitepapers)

Contributions to open-source agent frameworks or MCP servers

Understanding of ETL/ELT patterns, vector databases, data lakes, and real-time vs. batch processing architectures

Previous consulting or professional services experience

Multi-industry exposure

Understanding of Azure and GCP services for comparative client discussions

What We Offer
Work Flexibility

Remote-first environment with flexible working hours aligned to your local time zone

Compensation and Benefits

Competitive salary reflecting client-facing expertise

A budget for your medical insurance

Paid sick leave, vacation, and public holidays

Career Growth

Clear career path toward Practice Leadership or Principal Architect roles

High-visibility role with exposure to diverse global clients and business challenges

Learning and Professional Development

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

Technology and Impact

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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