Senior Solution Architect

Job Summary

Bachelor's degree or equivalent (overall 15+ years) work experience including 7+ years of hands on AWS experience, with good knowledge of AWS Services

Understand customer's IT estate, LOB applications, IT and business priorities and success measures to design implementation architectures and cloud native solutions. Collaborate with network, security, and application architects and SMEs to develop enterprise grade solutions. Hands-on AWS experience with at least 2 implementations and/or AWS migration at an enterprise level , Scripting experience and the ability to develop AWS EAC (Environment as code), Design and Implement AWS architectures and environments

Automation / IAC (infrastructure As Code) Solutions using CloudFormation, Terraform, Ansible, Puppet, Jenkins....CloudFormation and third-party automation approach/strategy, Environment and application automation, Experience with core AWS platform architecture, including areas such as: Organizations, Account Design, VPC, Subnet, segmentation strategies,Cloud Endure, MGN, Data Sync,Backup and DR approach/design,Network connectivity, Direct Connect, TGW and VPN, Set up of Multi Account Architecture using Landing Zone, Control Tower, AWS Cost Management and Optimization mechanisms, Experienced in Security mechanism using AWS Security Hub, Guard Duty, AWS Config, AWS Network Firewall, AWS Inspector, AWS certification must include AWS Certified Solution Architect (Associate or Professional). Relevant experience in AI/ML/Generative AI leveraging Q, Bedrock, Sage Maker AI, Agent Core, Knowledge Base, Bedrock Agents, LLM, MCP, A2A protocols and frameworks incl CrewAI, Langgraph, Strands, Launching solutions on AWS Agentic AI Marketplace ...with demonstration of AI Infrastructure and Data foundation experience needed to build AI based applications.

Have an engineering, solution, Use Case, PoC, Asset development mindset with demonstrated ability in interacting with clients mid level / senior management

Contribute towards blogs, whitepapers, presentations on AWS technical and strategic topic, Act as a subject-matter expert on AWS and assist Sales/Pre-Sales in RFP activities.

Well versed with AWS funding / incentive mechanisms and strategc programs like ACDC, VMCCO etc

Key Responsibilities

Bachelor's degree or equivalent (overall 15+ years) work experience including 7+ years of hands on AWS experience, with good knowledge of AWS Services

Understand customer's IT estate, LOB applications, IT and business priorities and success measures to design implementation architectures and cloud native solutions. Collaborate with network, security, and application architects and SMEs to develop enterprise grade solutions. Hands-on AWS experience with at least 2 implementations and/or AWS migration at an enterprise level , Scripting experience and the ability to develop AWS EAC (Environment as code), Design and Implement AWS architectures and environments

Automation / IAC (infrastructure As Code) Solutions using CloudFormation, Terraform, Ansible, Puppet, Jenkins....CloudFormation and third-party automation approach/strategy, Environment and application automation, Experience with core AWS platform architecture, including areas such as: Organizations, Account Design, VPC, Subnet, segmentation strategies,Cloud Endure, MGN, Data Sync,Backup and DR approach/design,Network connectivity, Direct Connect, TGW and VPN, Set up of Multi Account Architecture using Landing Zone, Control Tower, AWS Cost Management and Optimization mechanisms, Experienced in Security mechanism using AWS Security Hub, Guard Duty, AWS Config, AWS Network Firewall, AWS Inspector, AWS certification must include AWS Certified Solution Architect (Associate or Professional). Relevant experience in AI/ML/Generative AI leveraging Q, Bedrock, Sage Maker AI, Agent Core, Knowledge Base, Bedrock Agents, LLM, MCP, A2A protocols and frameworks incl CrewAI, Langgraph, Strands, Launching solutions on AWS Agentic AI Marketplace ...with demonstration of AI Infrastructure and Data foundation experience needed to build AI based applications.

Have an engineering, solution, Use Case, PoC, Asset development mindset with demonstrated ability in interacting with clients mid level / senior management

Contribute towards blogs, whitepapers, presentations on AWS technical and strategic topic, Act as a subject-matter expert on AWS and assist Sales/Pre-Sales in RFP activities.

Well versed with AWS funding / incentive mechanisms and strategc programs like ACDC, VMCCO etc

Skill Requirements

Bachelor's degree or equivalent (overall 15+ years) work experience including 7+ years of hands on AWS experience, with good knowledge of AWS Services

Understand customer's IT estate, LOB applications, IT and business priorities and success measures to design implementation architectures and cloud native solutions. Collaborate with network, security, and application architects and SMEs to develop enterprise grade solutions. Hands-on AWS experience with at least 2 implementations and/or AWS migration at an enterprise level , Scripting experience and the ability to develop AWS EAC (Environment as code), Design and Implement AWS architectures and environments

Automation / IAC (infrastructure As Code) Solutions using CloudFormation, Terraform, Ansible, Puppet, Jenkins....CloudFormation and third-party automation approach/strategy, Environment and application automation, Experience with core AWS platform architecture, including areas such as: Organizations, Account Design, VPC, Subnet, segmentation strategies,Cloud Endure, MGN, Data Sync,Backup and DR approach/design,Network connectivity, Direct Connect, TGW and VPN, Set up of Multi Account Architecture using Landing Zone, Control Tower, AWS Cost Management and Optimization mechanisms, Experienced in Security mechanism using AWS Security Hub, Guard Duty, AWS Config, AWS Network Firewall, AWS Inspector, AWS certification must include AWS Certified Solution Architect (Associate or Professional). Relevant experience in AI/ML/Generative AI leveraging Q, Bedrock, Sage Maker AI, Agent Core, Knowledge Base, Bedrock Agents, LLM, MCP, A2A protocols and frameworks incl CrewAI, Langgraph, Strands, Launching solutions on AWS Agentic AI Marketplace ...with demonstration of AI Infrastructure and Data foundation experience needed to build AI based applications.

Have an engineering, solution, Use Case, PoC, Asset development mindset with demonstrated ability in interacting with clients mid level / senior management

Contribute towards blogs, whitepapers, presentations on AWS technical and strategic topic, Act as a subject-matter expert on AWS and assist Sales/Pre-Sales in RFP activities.

Well versed with AWS funding / incentive mechanisms and strategc programs like ACDC, VMCCO etc

Other Requirements

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