About The Role

Join us on a journey of endless possibilities

At Strada, possibility isn’t just a promise – it’s the foundation of everything we do. We believe in unlocking potential for every colleague, creating a journey of growth, discovery, and impact.

With the support, resources, and opportunities we provide, you’ll build a fulfilling future – working on meaningful projects that span industries and regions, contributing to outcomes that matter.

Strada is a people, payroll, and technology leader simplifying international workforce management. Operating in 180+ countries, we design and deliver people-first solutions powered by cloud-based technology – helping organizations grow and enabling workforces to perform at their best.

Learn more at www.stradaglobal.com

Role: AI Engineer & Architect

Role Summary

We are looking for an AI Engineer and Solution Architect. This is a working lead role, not a purely managerial one — it requires someone who can design and build production LLM/RAG and agentic systems personally, while also setting the technical direction, standards, and delivery discipline for the team building them.

The ideal candidate has a strong core software engineering foundation (full-stack / .NET or equivalent enterprise stack) and has since specialized into applied AI. Key Responsibilities

Define the team's technical standards, reusable patterns, and reference architecture for GenAI/Agentic AI delivery across engagements.
Own and manage the AI budget — tooling and LLM/API spend, infrastructure costs, and licensing — and justify spend against delivery outcomes.
Architect and build end-to-end GenAI and Agentic AI solutions — RAG pipelines, LLM orchestration, multi agent workflows — from design through production deployment.
Own solution architecture across the full stack: backend services, APIs/microservices, data layer, and cloud infrastructure, ensuring AI components integrate cleanly with existing enterprise systems.
Select and justify the technical stack — LLM providers, vector databases, orchestration frameworks — based on the problem, not on default habit, and codify these choices as team guidelines.
Produce architecture artifacts (HLD/LLD, sequence diagrams, integration specs) that the team builds against, and review their designs for architectural soundness.
Build in evaluation, guardrails, and monitoring for AI systems — hallucination checks, retrieval quality metrics, human-in-the-loop escalation paths — as a standard the team enforces, not a one-off step.
Support presales and solutioning — translating client requirements into a credible technical approach and effort estimate, and representing the team in client-facing technical discussions.
Mentor and technically lead the team, growing its GenAI capability and setting the bar for what "production ready" means. Required Skills — AI / GenAI
Hands-on experience with LLMs (OpenAI, Gemini, or equivalent) and prompt engineering for production use cases.
RAG architecture — chunking, embeddings, hybrid retrieval, reranking — and the trade-offs between them.
Agentic AI patterns: tool-calling, planner/executor designs, multi-agent orchestration (LangChain / LangGraph or equivalent).
Vector databases (FAISS, Pinecone, pgvector, or equivalent) and semantic search implementation.
Working ML/DL fundamentals — comfortable evaluating when a classical model or fine-tuning approach is the better answer than an LLM call.
Python as the primary language for AI/ML work. Required Skills — Engineering & Architecture
Strong core software engineering background, with proficiency in .NET/C# and/or Java (Spring/Spring Boot) at an architecture level, not just scripting.
REST API and microservices design; comfortable defining service boundaries and contracts.
Cloud platform experience (Azure, AWS, or GCP) — deployment, scaling, and security basics for production services.
SQL and NoSQL database design; understands when each is the right fit.
Containerization and CI/CD (Docker and a standard pipeline tool). • Demonstrated solution architecture experience — has owned HLD/LLD for at least one non-trivial system, not just contributed to one.

Experience & Profile • 12–17+ years overall in software engineering, with a clear architecture or technical-lead track record.

At least 2–3 years of recent, hands-on GenAI/Agentic AI project experience — not certifications alone. • Comfortable operating in a client-facing, presales-adjacent capacity when needed

At Strada, our values guide everything we do

Anticipate Customer Needs – We stay ahead of trends so our customers can grow and succeed.
Own the Outcome – We take responsibility for delivering excellence and ensuring things get done right.
Challenge Ourselves to Work Smarter – We move faster than the world around us to drive change and accomplish more.
Empower Each Other to Solve Problems – We tackle challenges head on, ask tough questions, and collaborate to find the best solutions.
Care About Our Work – We understand that what we do impacts millions, and we have a responsibility to get it right.

Benefits

At Strada, we support your whole self—offering a range of benefits for your health, wellbeing, finances, and future. These include health coverage, wellbeing programs, paid leave (vacation, sick, parental), retirement plans, learning opportunities, and more.

All offers are contingent on successful completion of background checks, where permitted by law and as appropriate for the role. These may include identity, education, employment, and in some cases, criminal history verification, checks against global watchlists, credit reports, and/or drug testing. You’ll be informed of the specific checks applicable to your role and location during the recruitment process.

Our commitment to Diversity and Inclusion

Strada is dedicated to fostering a diverse, equitable, and inclusive workplace where everyone feels valued and supported. We believe that embracing differences strengthens our teams and drives innovation and success.

Diversity Policy Statement

Strada is an Equal Opportunity Employer and prohibits discrimination based on legally protected characteristics. We provide reasonable accommodations for disabilities and religious practices. Applicants may request reasonable accommodation by contacting their recruiter.

Authorization to work in the Employing Country

To be considered, you must have current and future work authorization in the country where you're applying, without the need for visa sponsorship by Strada.

Please note: This job description does not limit Strada’s right to assign or reassign responsibilities, including to subsidiaries, partners, or future business purchasers.

We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

DISCLAIMER

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Strada business units.