Senior Technical Software Architect

NTT DATA Europe & Latam; Ro; On-site; EUR 90,000 - 130,000; Full time

Job summary

NTT DATA Europe & Latam is seeking a Senior/Lead Technical Architect to translate business needs into scalable architectures and solutions. The role focuses on architecture, design reviews, and solution definition with cloud-native expertise across Azure, Kubernetes, and Docker.

You will lead a squad, drive governance, and advance AI agent ecosystems, collaborating with product and security stakeholders. The ideal candidate has a strong engineering background, hands-on Python/TypeScript

Qualifications

• Degree in Computer Science, Engineering or equivalent experience.
• Strong background in architecture and technical leadership.
• Software Architecture: APIs, integrations, NFRs and patterns.
• Full-Stack Development: backend with frontend awareness.
• Knowledge of AI agents, orchestration, MCP and Semantic Kernel.

Responsibilities

• Define target architecture and technical solutions for platform/product, including components and deployments.
• Translate requirements into patterns, standards and technical decisions for engineering teams.
• Provide technical leadership to one squad and coordinate with others to resolve dependencies and ensure consistency.
• Establish lightweight governance: architecture reviews, ADRs, guardrails and quality gates.
• Conduct architecture/design reviews and validate proposed solutions.
• Review decisions and guide concrete technical solutions without day-to-day implementation focus.
• Design or evolve cloud-native architectures on Azure using Kubernetes and Docker for resilience and cost control.
• Improve CI/CD practices and delivery lifecycle automation across environments.
• Maintain end-to-end backend/frontend architecture across distributed teams.
• Oversee product capabilities based on AI agents, tool usage and agent harnesses.

Skills

Technical leadership

Architecture ownership

Cross-team coordination

English proficiency

Education

Degree in Computer Science or Engineering or equivalent

Tools

Azure

AKS

Kubernetes

Docker

CI/CD

Infrastructure as Code

Semantic Kernel

LLMOps

Job description

Who We Are

We are seeking a Senior or Lead Technical Architect / Software Architect with a strong product and platform mindset, able to translate business and product needs into executable, scalable and sustainable architectures and technical solutions. The role will provide technical leadership to one squad and coordinate decisions, dependencies and standards with other squads and technical stakeholders. The profile should be primarily focused on architecture, design, technical reviews and solution definition, with sufficient engineering judgement and depth to drill into implementation where required. The candidate must bring cloud-native experience across Azure, Kubernetes and Docker, solid CI/CD practices, and an end-to-end understanding of backend and frontend architecture. A core requirement is knowledge of AI agents and product-oriented agentic ecosystems, including harnesses, tools, MCP and Semantic Kernel, together with an up-to-date view of the leading AI capabilities and products in the market.

What You'll Be Doing

• Define the target architecture and technical solutions for the platform/product, including components, integrations, interfaces, deployment and key design decisions
• Translate functional and non-functional requirements into patterns, standards and technical decisions that engineering teams can implement
• Provide technical leadership to one squad, setting architecture, design and technical direction, and coordinate effectively with other squads to resolve dependencies and maintain consistency across solutions
• Establish lightweight and effective technical governance mechanisms: architecture reviews, ADRs, standards, guardrails, quality gates and technical acceptance criteria
• Carry out architecture/design reviews, technical analysis of components, APIs and integrations, and validation of solutions proposed by the squad
• The role is not focused on day-to-day implementation, but requires sufficient technical depth to review decisions, identify risks and guide concrete solutions
• Design or evolve cloud-native architectures on Azure using Kubernetes and Docker, considering resilience, scalability, security, operability and cost
• Define and improve CI/CD practices, delivery lifecycle automation, quality gates, artefact management and promotion between environments
• Maintain an end-to-end view of backend and frontend architecture, even when implementation is distributed across different teams or technologies
• Design and/or oversee product capabilities based on AI agents, tool use, orchestration and agent harnesses, including integration with existing systems and APIs
• Assess emerging AI ecosystem capabilities and translate them into practical product innovation opportunities
• Collaborate with Product, Engineering, Platform/DevOps, Security and other architects to ensure technical decisions support product objectives
• Raise the technical standard of the squad through architecture and design reviews, technical mentoring and clear quality criteria, promoting team autonomy and alignment with other technical leaders

What You'll Bring Along

• Degree in Computer Science, Engineering or equivalent experience
• Strong background in architecture and technical leadership
• Software Architecture: solution design, APIs, integrations, NFRs and architectural patterns
• Full-Stack Development: strong backend expertise and solid understanding of frontend architectures
• Python & TypeScript: hands-on experience in modern software and AI solutions
• CI/CD & Cloud-Native: automated pipelines, containers and Kubernetes
• Agentic AI: hands-on knowledge of AI agents, orchestration, tool calling, MCP and Semantic Kernel
• AI Engineering: LLM/RAG integration, evaluation, observability and production readiness
• Azure / AKS and Infrastructure as Code
• Technical Leadership: squad leadership, architecture ownership and cross-team coordination
• English: minimum B2
• Nice-to-have:
• Observability, security and SRE practices
• Event-driven architectures and microservices
• LLMOps / AgentOps
• Experience with enterprise or regulated environments