Technical AI Architect

Position Name: Technical AI Architect

Position Type: Full Time

Location: Finland

About the Role

Do you want to define how modern AI systems are designed, governed, and brought to life?

We are looking for an AI Architect who will shape the core intelligence of our AI solutions. In this role, you will focus on architecting production‑grade AI systems from agentic frameworks and RAG pipelines to responsible AI and MLOps foundations. You will operate at the heart of innovation, ensuring that AI solutions are scalable, secure, explainable, and ready for real‑world use.

If you are driven by designing how AI behaves, scales, and is trusted in production environments, we invite you to join us.

Your Role & Impact

As an AI Architect, you will own the AI architecture layer within client solutions. You will define how intelligence is implemented, orchestrated, and operationalized across use cases. Acting as a technical authority, you will guide customers, partners, and engineering teams in adopting modern AI architecture paradigms and translating them into demonstrable, production‑ready solutions. You will be part of a European AI Sales and Solutions team that drives new business for TCS in AI space.

Key Responsibilities

• Design and define AI architectures, covering model strategies, agentic frameworks, RAG pipelines, orchestration layers, and MLOps foundations
• Lead AI‑focused customer presentations, technical deep‑dives, and architecture discussions
• Introduce and apply new AI architecture paradigms (both TCS PoVs and Market relevant PoVs) to solve customer problems, including advances in Agentic AI, orchestration patterns, and responsible AI practices
• Position TCS AI offerings in proactive proposals and RFPs strategically.
• Co‑create and build AI solutions with strategic partners, integrating AI platforms, models, and tooling into cohesive systems
• Guide and mentor technical teams who build rapid demos and prototypes for customer presentations providing architectural direction and ensuring alignment with target AI designs
• Drive demo outcomes, ensuring rapid prototypes reflect scalable, secure, and production‑ready AI architectures

What Makes You the Ideal Candidate

You combine deep technical expertise in AI/ML systems with the ability to design and explain complex architectures. You are comfortable acting as a technical leader, shaping both engineering decisions and customer understanding.

In addition, you bring:

• Strong experience in architecting AI/ML solutions end‑to‑end
• Expertise in Agentic Frameworks, Agentic Orchestration, and RAG pipelines
• Solid understanding of Responsible AI principles, including governance, transparency, and security
• Hands‑on knowledge of MLOps, covering model lifecycle management, deployment, monitoring, and optimization
• The ability to communicate AI architecture choices clearly to both technical and non‑technical stakeholders
• A collaborative mindset and the confidence to guide teams toward high‑quality AI delivery
• Experience in Technology Stack: You do not need experience with all technologies listed below. These examples highlight the types of AI‑centric platforms, frameworks, and tooling commonly used in modern AI architectures and it would be good to have a broad understanding of these platforms and deep expertise in few of these.
• AI / ML Platforms: Azure AI/AWS/Google Vertex AI, OpenAI platforms, managed ML services, open‑source model ecosystems
• Agentic Frameworks & Orchestration: Agent frameworks (e.g. n8n, LangChain etc. ), workflow orchestration engines, multi‑agent coordination patterns
• RAG & Knowledge Systems: Vector databases, embeddings frameworks, semantic search, document processing pipelines
• MLOps: Model lifecycle management, CI/CD for ML, monitoring, evaluation, and model governance tools
• Data for AI: Feature stores, training data pipelines, real‑time and batch data integration
• Responsible AI Tooling: Explainability, bias detection, model governance and audit tooling
• Runtime & Deployment: Containerized AI workloads, scalable inference architectures, cloud‑native AI deployments

What We Offer

We offer you the opportunity to join an environment where excellence in AI engineering, architectural leadership, and continual innovation is valued and encouraged. You'll be part of small, specialized teams dedicated to pushing the boundaries of advanced AI technologies and solutions.

As a member of our team, you will have the autonomy and support to establish yourself as a technical authority in AI, taking ownership of impactful projects and initiatives.

You will work with state-of-the-art AI technologies and frameworks, gaining hands-on experience with the latest tools and methodologies in the field.

About TCS:

Tata Consultancy Services is a digital transformation and technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service. Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large.

With a highly skilled workforce of over 607,000 consultants in 55 countries and 180 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients – helping them emerge as perpetually adaptive enterprises. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to Artificial Intelligence today.