About the Position

AI Solutions Architect (Freelance)

We are looking for an experienced AI Solutions Architect to lead the design and implementation of AI-powered solutions across our product and engineering landscape. This role is instrumental in shaping our AI architecture strategy, driving automation with intelligent agent systems, and modernising software engineering workflows using the latest advancements in AI tooling, protocols, and frameworks.

As AI moves from experimentation to enterprise-scale production, you will be at the forefront - designing systems that are scalable, observable, and governed. You will bridge business strategy and deep technical execution, while championing responsible and secure AI practices.

Innovecs is a global digital transformation tech company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Software & Hightech, and Gaming. For the fifth year in a row, Innovecs is included in the Inc. 5000 and recognized in IAOP’s ranking of the best global outsourcing service providers. Innovecs is featured in the Global Top 100 Inspiring Workplaces Ranking and won gold at the Employer Brand Management Awards.

If you feel like you’re the perfect match for this role, drop us your CV!

There are no limitations, no barriers when the right people are on your way - apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

Responsibilities

AI Products & Solution Architecture

Design and guide implementation of AI-driven products, APIs, and platform features from concept to production;
Evaluate, select, and benchmark AI/ML models - including frontier LLMs, fine-tuned models, and open-source alternatives;
Architect scalable, observable, and cost-efficient AI systems that span experimentation, staging, and production;
Collaborate with product managers and business stakeholders to translate requirements into robust solution architectures;
Establish architectural standards for multi-agent systems, including context management strategies and memory designs.

Agentic AI & Process Automation

Identify business processes that can be automated or enhanced via agentic AI, and define the architecture for doing so;
Design and oversee implementation of MCP server ecosystems that connect agents to enterprise data sources and tools;
Architect multi-agent workflows using orchestration frameworks (LangGraph, CrewAI, AutoGen), with appropriate human-in-the-loop checkpoints;
Integrate agent-to-agent communication standards (A2A, ACP) where multi-agent coordination is required;
Drive governance of MCP deployments: audit trails, authentication, rate limiting, and access control policies;
Embed AI into internal and external tools to improve operational efficiency across teams.

AI-Augmented Software Engineering

Set up and continuously optimize AI-augmented developer environments (Claude Code, Cursor, GitHub Copilot);
Introduce AI into automated testing, deployment pipelines, code review, estimation, and technical documentation;
Define and enforce best practices for using AI coding tools safely, securely, and productively in software delivery;
Drive adoption of context engineering disciplines - designing prompts, tool schemas, and MCP resources that maximize agent reliability.

Governance, Security & Responsible AI

Ensure all AI systems are designed with security-first principles: input validation, output guardrails, and least-privilege access;
Maintain AI compliance standards aligned with GDPR, the EU AI Act, EU Data Act, CRA, ISO27001, and internal model governance policies;
Implement observability and evaluation pipelines to detect hallucinations, drift, and performance degradation in production LLM systems.

Requirements

Must-Have

5+ years of experience in AI/ML solution architecture and demonstrable track record of taking AI systems from prototype to production at scale;
Deep expertise in LLMs, prompt and context engineering, RAG architectures, and vector databases;
Hands-on experience with agentic AI frameworks and orchestration;
LangChain / LangGraph: multi-step reasoning chains and stateful agent workflows;
LangWatch / CrewAI / AutoGen: multi-agent collaboration and task delegation;
MCP (Model Context Protocol): designing and deploying MCP servers for agent-to-tool integration;
Strong proficiency in Python; working knowledge of at least one additional language (Go, TypeScript, etc.);
Experience with cloud-native AI deployment on AWS, GCP, Azure, including managed LLM services such as Bedrock, Vertex AI, etc.
Solid software engineering fundamentals: design patterns, API design, testing, and CI/CD;
Familiarity with AI observability, evaluation frameworks, and production monitoring of LLM-based systems;
Ability to define AI adoption roadmap, prioritize business cases based on ROI, present the strategic and tactical layers of implementation to both technical and business stakeholders;
Experience with AI compliance, governance frameworks, and explainability (GDPR, EU AI Act, model cards);
Experience integrating AI into enterprise systems (ERP, CRM, ITSM) via standardised protocols;
Experience leading engineering teams on AI-first projects.

Nice to Have

Background in AI security: prompt injection mitigation, MCP server hardening, OAuth 2.x for agents;
Knowledge of emerging multi-agent communication standards: A2A (Google), ACP (IBM BeeAI);
Experience with reasoning/thinking models and their architectural implications for agent planning;
Contributions to open-source AI projects, MCP servers, or published technical articles.

We Offer

Personalized benefits based on your preferences
Diversity of domains & businesses
Flexible working mode in hybrid teams
Opportunity to work from home, office or whenever you want to
Company events and team activities
Mentorship Program and Individual Development Plan
English classes to take your speech and writing to a new level
Global certification preparation program (AWS, ISTQB, Unity, Scrum, etc.), and comprehensive online courses on Udemy, Educative, Pluralsight, edX

About the Company

What our people say

Innovecs fosters a culture of innovation and teamwork, offering a supportive atmosphere and endless possibilities for professional development. The inspiring people here empower me to grow, learn new things, and uncover a potential in yourself you didn’t know was there.

Alina Horai

Delivery Manager

I’ve been at Innovecs for 2.5 years. The company invests in the team with technical courses, mentorship programs, insurance, and sports benefits. I’m happy with my experience and confidently recommend Innovecs.

Mykhailo Baturin

Senior Software Engineer

It’s been more than six years since I joined Innovecs. It’s a place where it’s comfortable to work and grow. My experience is filled with valuable moments, meaningful connections, and the chance to be part of something greater.

Mariia Novoselska

Senior Animator 2D

Innovecs provides everything needed for work and self-development, organizes events, and motivates people to join workshops, lectures, and initiatives. We also have a football team that participates in tournaments!

Artem Voronin

Junior Motion Designer

I began my journey as a Game Release Manager, a hybrid QA position that involved communication with operators and suppliers. After a year, I became the Lead of the Game Release team, building a skilled and efficient team from scratch.

Olha Kolomiiets

QA Lead

I like that the company is not indifferent to its employees as individuals. First, we are seen as people. Whereas other companies require time and effort from you to achieve their goals without giving anything in return, Innovecs cares about the emotional state of their people.

Andrii Bosak

Technical Support Specialist

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