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Jobs(30,285)/Solutions Architect Role(560)/Jobs (1) - AI Solutions Architect (Freelance)
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Jobs - AI Solutions Architect (Freelance)

Hybrid2mo ago
In OfficePrincipalEMEAInsuranceDigital HealthSolutions ArchitectMotion DesignerBrand ManagementObservableGovernanceClaudeCursorDocumentation

Requirements

• 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. • AI Solutions Architect • 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. • Innovecs • 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!

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. • 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. • 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 • 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! • 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 • 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. • Technical Support Specialist

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