We are seeking an AI / Agentic Technical Architect to design, lead the architecture of cutting-edge AI systems involving agent orchestration, LLM integration, and operationalize enterprise grade Generative and Agentic AI solutions.

You will play a pivotal role in shaping modern AI architectures that combine LLMs, agentic orchestration, cloud native engineering, and robust data platforms. Working alongside multidisciplinary teams with strategy, engineering, data & AI, and industry experts – you will help clients adopt AI systems that are secure, scalable, and production ready.

This is a hands-on architecture role for someone who thrives at the intersection of AI innovation, cloud engineering, and enterprise systems design.

What You Will Do

• Architect end-to-end Generative and Agentic AI solutions (focusing on agent orchestration, system integration, model selection), from discovery and design through deployment and scaling.

• Build and integrate agentic workflows, including orchestration frameworks, multiagent systems, MCP Server integrations, and A2A protocol-based interactions.

• Design cloud native AI solutions across AWS, Azure, and GCP, ensuring performance, resilience, and cost-efficient scaling.

• Lead the implementation of MLOps / LLMOps pipelines, enabling continuous delivery, monitoring, governance, and lifecycle management of AI models.

• Collaborate with data engineering teams to design data platforms, vector databases, RAG architectures, feature stores, and knowledge retrieval systems.

• Oversee system integrations, including APIs, microservices, enterprise networks, and security frameworks.

• Ensure secure, cost-optimized design through API gateway integration, token & context-window budgeting, and resource utilization planning.

• Provide architectural leadership in client workshops, technical assessments, and solution reviews.

• Advise clients on AI strategy, modernization roadmaps, and responsible AI adoption.

Qualification

What You Will Bring

• 5+ years of experience in Cloud Architecture, with strong proficiency in at least one major cloud providers (AWS, Azure, GCP) and hybrid environments with secure enterprise integration patterns.

• Strong software engineering background and coding foundation (Python, Java), including:

  • API design & development  

  • Microservices architecture

  • Distributed systems

  • Kubernetes and container orchestration

• Solid understanding of network architecture, security models, and enterprise system integrations.  

• Strong background in data platforms, including data lakes, lakehouses, distributed storage, and real-time data pipelines.

• Proven experience designing and delivering Generative AI solutions, with hands-on exposure to emerging agentic AI architectures (e.g., autonomous or tool-using agents, multi-step workflows, orchestration patterns, MCP server, and A2A protocols).

• Hands-on expertise with LLM orchestration frameworks such as LangGraph, CrewAI, AutoGen, Vertex AI,

• Solid understanding of Retrieval-Augmented Generation (RAG) and knowledge retrieval patterns, including experience with vector databases, embeddings, and semantic search.

• Experience establishing and guiding MLOps / LLMOps practices, enabling model deployment, monitoring, versioning, governance, and lifecycle management using cloud-native or open-source tooling.

Key Competencies

• Architectural thinking with the ability to design complex, distributed AI systems.

• Hands‑on engineering mindset with rapid prototyping and iterative solutioning.

• Deep understanding of LLM behavior, evaluation frameworks, prompt engineering, and model optimization.

• Familiarity with DevOps, CI/CD, containerization, and cloud native patterns.

• Strong communication skills with the ability to engage both technical and non‑technical stakeholders.

• Curiosity and passion for emerging AI technologies and continuous learning.

Additional Qualifications

• Exposure to AI governance, responsible AI, model risk management, and compliance frameworks

• Cloud certifications (AWS, Azure, GCP)

• Prior consulting experience or client facing delivery roles.

• Ability to work as a team player in multinational project teams

• Fluency in English (verbal and written)

• All male candidates should have fulfilled their military obligations

What’s in it for you?

• Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave and various corporate discounts

• Continuous training & development through global platforms & local academy. At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people

• Career coaching and mentorship to help you manage your career and develop professionally

• Ongoing strength and skill-based evaluation process

• Various opportunities to develop your career across a spectrum of clients, industries and projects

• Diverse and inclusive culture

• Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work

• Under our Brain Regain initiative, extra relocation benefits may apply