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Artificial Intelligence Analytics Architect

Our talented Data & AI Practice is made up of globally recognized experts - and there’s room for more analytical and ambitious data professionals. If you’re passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let’s talk. Take your skills to a new level and launch a career where you can truly do what matters.

Come join us

As an Artificial Intelligence Analytics Architect, you will bring expert-level knowledge in support of sales motions and project execution across Avanade's Data & AI portfolio. We are looking for SME who brings deep engineering experience and a strategic mindset to design, build, and operationalize enterprise AI and machine learning solutions—particularly those involving large language models (LLMs), agentic systems and operationalization of AI/ML systems. This role requires a deep understanding of AI/ML technologies, cloud platforms, and the ability to translate complex business requirements into scalable, production-ready solutions for our clients.

What you’ll do

Architect Scalable AI Solutions: Design and optimize end-to-end ML and LLM systems—including traditional ML, retrieval-augmented generation (RAG), and agentic AI architectures—that serve real-time and batch workloads at enterprise scale.

Build and Operationalize Production Systems: Lead implementation of production-ready AI solutions using tools such as Azure ML, Databricks, and Azure AI Foundry, ensuring performance, reliability, security, and compliance.

Define Best Practices and Frameworks: Collaborate with solution architects, engineers, and data scientists to set architecture standards, delivery frameworks, and reusable components that enable consistent, high-quality AI deployments.

Mentor and Enable Teams: Coach junior engineers and architects, lead technical reviews, and foster a culture of innovation and engineering excellence across AI teams at Avanade.

Drive Continuous Innovation: Stay current with advancements in AI/ML and integrate them into enterprise architectures to future-proof solutions.

Skills and experiences

AI & ML Architecture: Proven experience architecting end-to-end solutions across the ML and LLM lifecycle—from data ingestion and model training to inference, monitoring, and continuous improvement.

Strategic & Business Alignment: Ability to balance technical feasibility with business value, driving adoption of AI technologies that align with organizational priorities and customer needs.

Cloud & Data Ecosystems: Deep familiarity with Azure and with tools like Azure Functions, AKS, Event Hubs, Spark, for scalable, real-time architectures.

Programming & Tools Proficiency: Strong working knowledge in Programming/scripting languages, i.e., Python/Java, Scala, SQL, and experience across machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).

Deployment & MLOps: Understanding of modern MLOps practices, including containerization (Docker, Kubernetes), CI/CD pipelines, and observability tools.

LLMs and Agentic Systems: Experience building solutions using LLMs, with practical understanding of prompt engineering, semantic search, tool usage, and orchestrated multi-agent workflows.

Communication & Leadership: Ability to engage both technical and non-technical stakeholders, lead architecture reviews, and represent AI strategy in cross-functional conversations.

Continuous Learning: Strong curiosity and drive to stay current with the latest AI research, technologies, and tools—and apply that knowledge to build smarter, more effective solutions.

About you

Characteristics that can spell success for this role:

• Consultative, collaborative, curious

• Resilient, adaptable, flexible

• Humble leader, master negotiator, relationship builder

• Passionate about tech and engaging with and advising clients

We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.