AWS - Solutions Architect

Job Description: AWS Solutions Architect – Data & AI Experience: 8–12 Years About The Role We are looking for an experienced AWS Solutions Architect with strong hands-on engineering capabilities across Data, AI/ML, and cloud platforms. This is a dual-mode role requiring the ability to design scalable enterprise solutions, write code, build and deliver production-ready data/AI products, and operate at an architecture level. You will work closely with client-side Enterprise Architects, technology leaders, cybersecurity, legal, and business stakeholders, contributing to architectural documentation, governance processes, solution reviews, and technical decision-making. The role requires strong technical depth, architectural thinking, and exceptional communication skills to engage confidently with US-based enterprise stakeholders. Key Responsibilites Solution Architecture: Design scalable, secure, and cost-effective AWS architectures for enterprise Data and AI/ML solutions.Hands-on Engineering: Develop, validate, and deliver production-ready data pipelines, cloud components, and AI/ML solutions.AWS Data & AI: Work with services such as Amazon Bedrock, SageMaker, Glue, Redshift, and Lake Formation.Architecture Governance: Prepare architecture documents, solution designs, technical assessments, and decision records; support architecture reviews and governance approvals.Enterprise Collaboration: Partner with Enterprise Architecture, Cybersecurity, Legal, and engineering teams to navigate enterprise standards, risk, compliance, and technology approval processes.Stakeholder Management: Present technical solutions, recommendations, risks, and trade-offs to directors, managing directors, and C-suite stakeholders.Technical Leadership: Guide developers and tech leads, evaluate solution approaches, review designs and code, and drive engineering best practices.Documentation & Communication: Translate complex technical concepts into clear, structured documentation and executive-ready presentations. Required Skills & Experience 8–12 years of experience in cloud engineering, solution architecture, or technical leadership, with substantial hands-on experience in AWS.Strong experience delivering enterprise-grade Data Engineering and AI/ML solutions.Practical experience with AWS services, including:Amazon Bedrock and SageMakerAWS Glue and Amazon RedshiftAWS Lake FormationRelevant AWS security, networking, IAM, and data governance capabilities.Strong programming and engineering skills, with the ability to develop, troubleshoot, and deliver production-grade solutions.Experience creating architecture diagrams, solution design documents, technical assessments, and governance artefacts.Experience working directly with Enterprise Architecture, Cybersecurity, Legal, Risk, or Compliance teams.Proven ability to communicate complex technical topics to senior business and technology stakeholders.Excellent spoken and written English, executive presence, and confidence engaging with US-based stakeholders. Ideal Candidate Profile A hands-on architect or senior technical lead who can move seamlessly between coding, solution design, architecture discussions, and stakeholder presentations.Someone comfortable representing the technical perspective in discussions with senior, non-technical stakeholders.A strong problem-solver who can balance enterprise architecture standards with practical delivery requirements. Who Should Not Apply Purely hands-off architects without recent hands-on engineering experience.Developers who lack solution design, architecture documentation, and enterprise stakeholder exposure.Candidates who struggle to communicate technical concepts confidently to senior US-based audiences. Success in this role: The ability to combine hands-on Data & AI delivery, architectural judgement, enterprise governance, and executive-level communication to move complex technology initiatives forward.