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Solutions Architect

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Genisys Group
Full Time position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer, Systems Engineer, IT Consultant
Job Description & How to Apply Below
Location: Bengaluru

Key Responsibilities
Design end-to-end solution architectures aligned to customer business needs, technical requirements, and architectural best practices
Lead the development of  AI-enabled, digital engineering solutions  and industry-specific use cases
Create new cloud-based offerings and reusable solution frameworks on  Azure, AWS , and related platforms
Act as a trusted technical advisor in client engagements, workshops, and solution discussions
Drive large-scale  application modernization , cloud migration, and integration initiatives
Define architectures covering  front-end, backend, APIs, data, security, Dev Ops, and cloud infrastructure
Ensure solutions are scalable, secure, resilient, and cost-effective
Collaborate with delivery, pre-sales, and engineering teams to support solutioning and execution
Required Skills & Experience
10+ years of experience in solution architecture, digital engineering, or enterprise application development
Strong hands-on and architectural experience with  Azure and/or AWS
Experience delivering  large application modernization and integration programs
Solid understanding of  microservices, APIs, cloud-native architectures, Dev Ops, and security best practices

Experience of developing engineering tools / accelerators
Exposure to one or more domains:  BFSI, Healthcare, Retail, Manufacturing, Digital Media Operations / Ad Ops
Proven ability to translate business problems into  innovative technology solutions
Excellent communication, presentation, and stakeholder management skills
Experience working in  customer-facing roles  within IT services organizations
Proven experience in technical assessment of existing complex applications landscape
Nice to Have
Experience building or productizing solutions for go-to-market
Knowledge of AI/ML solution design and implementation
Prior experience with industry accelerators, frameworks, or platforms
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