GenAI Solution Architect

Look4IT; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Remote work

Job summary

Look4IT is seeking a hands-on GenAI Architect to take sole architectural ownership of a live, multi‑market agentic product. Remote position with global rollout starting in Europe and expanding across markets; you will shape architecture, define standards, and lead proofs of concept.

You will collaborate with distributed teams across time zones, validate requirements with stakeholders, and advise on prompt engineering, tool choices, and reliability across languages.

Qualifications

• Advanced, production‑level experience with LangChain, LangGraph, and LangSmith in Python.
• Hands‑on experience implementing MCP and Agent‑to‑Agent (A2A) integrations.
• Solid experience with AWS, ideally Bedrock, in a serverless/container‑based environment.
• Genuinely hands‑on approach with ability to build PoCs and own designs.
• Capable of defining and arguing for architectural choices in front of stakeholders.
• Proven ability to work with under‑specified requirements and make defensible decisions.

Responsibilities

• Own the AI architecture underpinning the multi‑market roll‑out.
• Surfacing ambiguities, hidden assumptions, and constraints before implementation.
• Identify and mitigate technology risks early to avoid downstream issues.
• Prototype designs via PoCs and hand to development teams for full implementation.
• Shape evaluation and observability architecture for the agentic system.
• Design and iterate multi‑agent architectures and integration standards for MCP and A2A.
• Collaborate with senior tech lead in Poland and the team in India.
• Work with data/domain architects to deliver joined‑up designs.
• Coordinate with Business Analysts to validate designs and provide technical feedback.
• Advise on prompt engineering strategy, tool use design, and agent reliability across languages.

Skills

LangChain

LangGraph

LangSmith

Python

MCP

A2A integrations

Serverless

Observability

Prompt engineering

Distributed teams

English communication

Tools

Twilio

AWS Bedrock

AWS ECS

AWS Lambda

DynamoDB

Cognito

API Gateway

LangChain

Kubernetes

Job description

This is a remote position. We are seeking a very hands‑on GenAI Architect to take sole architectural ownership of a live, commercially deployed agentic product. A global consumer brand has already launched a GenAI‑powered front‑end agent in the UK, enabling customers to discover and explore products through natural language conversation. The platform is now entering a rapid multi‑market roll‑out: Germany first, then the Czech Republic, then Romania, with Poland and other markets running in parallel.This is a backfill in a formed, functioning squad - the product is in production and the delivery rhythm is established. You are joining to strengthen the team, not to rebuild it.

Tech stack

• Python, LangChain for LLM orchestration, LangGraph, LangSmith
• AWS Bedrock for model access (Anthropic among the providers), with Bedrock Knowledge Bases and Bedrock Guardrails
• AWS: ECS, Lambda, S3, API Gateway, DynamoDB, Cognito, EventBridge, WAF
• Twilio (telephony, in production)
• MCP and Agent-to-Agent integrations

What you'll be doing:

• Owning the AI architecture underpinning the multi‑market roll‑out;
• Discovering the unknowns in new feature requirements — surfacing ambiguity, hidden assumptions, and unstated constraints before implementation starts;
• Identifying and mitigating technology risks early, well before they surface as development problems;
• Proving designs by building proofs of concept, and handing them to the development team as the basis for full implementation;
• Shaping the evaluation and observability architecture for the agentic system — this is a new area of the solution, and you will be expected to bring options and a point of view rather than inherit a design;
• Designing and iterating on multi‑agent architectures, and defining integration standards for MCP servers and agent‑to‑agent communication;
• Working with the senior technical lead in Poland and the development team in India, supporting implementation day to day;
• Collaborating with the data and domain architects on the wider programme to deliver joined‑up solution designs;
• Working closely with the Business Analyst to validate business designs and provide technical feedback;
• Advising on prompt engineering strategy, tool use design, and agent reliability across multiple languages and markets.

Requirements

• Advanced, production‑level experience with LangChain, LangGraph, and LangSmith in Python;
• Hands‑on experience implementing Model Context Protocol (MCP) and Agent‑to‑Agent (A2A) integrations;
• Solid experience with AWS, ideally including Bedrock, and comfort designing within a serverless and container‑based AWS estate;
• A genuinely hands‑on approach — you build the proof of concept yourself rather than delegating it;
• A considered view on GenAI evaluation and observability, and the ability to argue for an architectural approach in front of technical stakeholders;
• Proven ability to work with under‑specified requirements: extracting the real need from stakeholders and making defensible decisions under uncertainty;
• Sound judgement in technology selection, with a track record of de‑risking choices early rather than discovering problems in development;
• Ability to work effectively with a distributed, cross‑timezone team and to communicate designs clearly to mid‑level and junior engineers;
• Strong communication skills — able to translate complex AI concepts for technical and non‑technical stakeholders;
• English proficiency at B2 level or above.

Nice to have:

• Experience with telephony and call centre applications, particularly Twilio and voice/AI integration patterns;
• Experience scaling an AI product across multiple languages or markets;
• Background in enterprise AI platform architecture.

Originally posted on Himalayas