SOLUTION ARCHITECT L2
Mentions Generative and Agentic AI with assisted/vibe coding abilities; expects building accelerators and using AI-assisted development.
About the Role
Senior Solution Architect responsible for designing and delivering enterprise cloud architectures and leading large-scale migration and modernization engagements, primarily on Google Cloud. The role provides technical leadership, platform engineering, and hands-on solution validation to ensure scalable, secure, and cost-optimized cloud solutions.
Job Description
Role
Seasoned Solution Architect (L2) to develop enterprise cloud architectures, lead application migration and modernization efforts, and provide technical leadership across large-scale client engagements. The role emphasizes platform engineering, cloud-native design, security, observability, and cost optimization.
Key Responsibilities
- Design enterprise-wide, scalable, reliable, and manageable architectures for new deals and major change requests.
- Provide solutioning for RFPs and ensure overall design assurance and alignment with business outcomes.
- Define target-state architectures, reusable patterns, and investment roadmaps based on current-state analysis.
- Lead technical design, development, prototyping, validation, and implementation of custom solutions.
- Recommend integration approaches and work with IT groups to transition tasks and resolve performance/issues.
- Perform detailed architectural documentation (application views, artifacts, and multiple perspectives).
- Identify root causes in architectural designs and propose corrective solutions.
- Track industry trends and map them to current and future IT needs.
Requirements
- Minimum ~20+ years overall IT experience (posting indicates a seasoned architect) with 8+ years leading migration & modernization engagements; posting also lists Experience: >10 YEARS.
- Proven experience designing and operating cloud landing zones and hybrid connectivity in enterprise environments.
- Hands-on experience with Google Cloud Platform services such as IAM, Networking, Pub/Sub, Cloud Run, Cloud Storage, Cloud SQL/PostgreSQL, MemoryStore, and GKE.
- Strong understanding of Kubernetes, cloud-native architecture, SRE practices, and 12-factor application principles.
- Experience implementing zero-trust/no-trust security architectures in cloud environments.
- Platform engineering experience designing, implementing, and operationalizing large platforms for scale and adoption.
- Ability to make critical solution design decisions and perform quick hands-on proofs of concept.
- Programming ability sufficient to pick up languages and code when required.
- Experience with cost-optimized cloud architecture, defining NFRs, and identifying SLIs/SLOs.
- Strong analytical, stakeholder engagement, and cross-functional collaboration skills.
Preferred / Additional
- Experience with Generative AI and Agentic AI, including building accelerators and assisted/vibe coding capabilities.
- Certifications in Google Cloud, Kubernetes (K8s), or Generative AI are advantageous but demonstrated experience is prioritized.
- Experience leading API-first, cloud-first, and data-first transformation initiatives.
Soft Skills
- Client engagement across levels from developers to senior executives.
- Self-driven, ownership mindset, ability to work in multi-vendor environments and defend architectural decisions.
- Effective communication, problem solving, and collaborative working.
Compensation & Benefits
- Stated compensation range: $100,000 to $185,000.
- Eligible for Wipro standard benefits including medical and dental options, disability insurance, paid time off (including sick leave), and other paid/unpaid leave options.
Location & Other
- Location: Dearborn, Michigan. Post-offer drug screening may be required depending on role and applicable state law.
Tech Stack
Skills
Experience Level
Salary
USD 100,000 - 185,000/year
Benefits
- •Medical insurance
- •Dental insurance
- •Disability insurance
- •Paid time off (inclusive of sick leave)
- •Other paid and unpaid leave options