Senior Solution Architect - AI, Data Platform

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?

Job Overview:

As a “Senior Solution Architect – AI, Data Platform” in our Data Platform Architecture team, you will drive the design and integration of AI/ML capabilities into our data platforms, ensuring scalability, performance, and alignment with business goals. You will focus on building AI-first platform solutions that enable generative AI, machine learning, and advanced analytics, while partnering with cross-functional teams to deliver reusable, governed, and secure systems.  

This role requires deep expertise in AI/ML systems, cloud-native architectures, and a passion for pushing the boundaries of generative AI.

What will be your key responsibilities?

• Architectural Design:
• Design and architect ML and Gen AI platform solutions, supporting the full lifecycle.
• Architect secure and scalable Gen AI platform solutions ensuring platform reusability and ethical AI practices.  
• Establish standards, patterns, and frameworks for developing, deploying and monitoring production-grade ML models and Gen AI applications
• Design and drive the adoption of MLOps and LLMOps best practices optimizing for efficiency, scalability, and compliance. 
• Ensure compliance with IT security policies and drive security reviews in collaboration with security team.
• Present architectural designs to the review board (ARBs) for evaluation and approval
• AI/ML Capability Model & Platform Roadmap
• Develop Gen AI and ML platform capability model, identifying gaps in tools, skills, and infrastructure across the data and AI platform.  
• Working closely with Product Owner to define a strategic roadmap for scaling Gen AI Platform capabilities and implementation, prioritizing business-aligned use cases  
• Collaborate with AI governance team to define governance frameworks for model lifecycle management, security (RBAC, encryption), and compliance.  

• Collaboration and Business Alignment:
• Engage with business stakeholders and other AI professionals to identify and assess AI use cases, ensuring feasibility and business impact.
• Translate AI vision into technical solutions, ensuring alignment with enterprise architecture.
• Work closely with cross-functional teams to ensure successful implementation of scalable and secure AI solutions.
• Cross-Platform AI Integration and Engineering
• Design APIs and microservices to expose Gen AI and ML capabilities as reusable components within the data platform. 
• Partner with engineering teams to automate CI/CD pipelines for model and artifacts deployment and monitoring (MLFlow, Vector DBs, etc)
• Innovation & Thought Leadership
• Research and assess emerging trends in Gen AI, LLMs, and ML (e.g., synthetic data, federated learning, AI security).  
• Mentor teams on best practices for Gen AI and ML development, platform optimization, and ethical AI principles.  
• Publish reference architectures and best practices to enhance AI adoption and platform capabilities.
• Technology and Vendor assessment:
• Lead evaluation and selection of Gen AI and ML technologies and frameworks (e.g., Langchain, Vector DBs, Model serving frameworks)
• Drive proof-of-concept initiatives to assess emerging AI tools and their alignment with platform needs.

Requirements

What you will need

• 8+ years of experience in design and develop AI solution including Gen AI ensuring scalability, security, governance and cost optimization
• Expert level knowledge in MLOps
• Expertise in cloud-based AI platforms such as Amazon SageMaker, Amazon Bedrock, Databricks, and Kubernetes.
• Experience with AWS cloud infrastructure, networking, and IAM services.
• Proven ability to define AI capability models and translate them into platform solutions, enterprise roadmaps, and scalable architectures.
• Experience with Gen AI & LLMs, including frameworks such as RAG (retrieval-augmented generation), Agents and Prompt Engineering
• Hands-on experience and understanding with Gen AI and ML lifecycle and tools such as ML model Development and training, MLFlow, Feature Stores, Chaining Framework (LangChain, Llama Index, etc) and Vector DBs are good to have.
• Strong understanding of AI security and responsible AI practices, including bias detection, explainability and model fairness.
• Familiarity with AI governance practices.
• Experience in API and microservices design.
• Good understanding of data lake, data mesh, and data fabric architectures.
• Excellent stakeholder management and communication skills.

Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

Benefits

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology.  We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!