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 SageMaker
- AWS Glue and Amazon Redshift
- AWS Lake Formation
- Relevant 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.
