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HCLTech

AI Solution Architect I

Kolkata · Executive

Older listing - lower visibility likelyVerified listingPosted 45d ago

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Skills required

27 listed
AWS Cost ManagementCI/CDBusiness PrioritiesDirect ConnectAgentic AIResource UtilizationDisaster RecoveryFault Tolerance+19 more
AWS Cost ManagementCI/CDBusiness PrioritiesDirect ConnectAgentic AI

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Job description

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,CloudEndure, MGN, DataSync,Backup and DR approach/design,Network connectivity, Direct Connect, TGW and VPN, Set up of MultiAccount Architecture using Landing Zone, Control Tower, AWS Cost Management and Optimization mechanisms, Experienced in Security mechanism using AWS Security Hub, GuardDuty, 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, SageMaker AI, AgentCore, 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.
 
Design, implement, and manage secure, scalable, and highly available AWS infrastructure using cloud-native services and Infrastructure as Code.
Build and optimize CI/CD pipelines to enable automated, reliable, and efficient application and infrastructure deployments.
Proactively identify, troubleshoot, and resolve infrastructure-related issues, production incidents, and AWS platform challenges.
Analyze and remediate application performance bottlenecks, including latency, availability, capacity, connectivity, and resource utilization issues.
Drive operational excellence through monitoring, observability, automation, root cause analysis (RCA), and continuous service improvement.
Enhance platform resiliency and scalability by implementing high availability, disaster recovery, fault tolerance, and performance optimization strategies.
Provide architectural guidance and technical leadership by designing sustainable solutions to complex infrastructure and application challenges while promoting AWS and DevOps best practices.
 
Strong hands-on experience with AWS services and cloud architecture.
Expertise in CI/CD, Infrastructure as Code (Terraform/CloudFormation), and automation.
Experience with monitoring and observability tools such as CloudWatch, Grafana, Splunk, Datadog, or Prometheus.
Strong troubleshooting and root cause analysis skills.
Experience with container platforms (Docker, ECS, EKS, Kubernetes).
Solid understanding of networking, security, scalability, and reliability principles.
Excellent problem-solving, communication, and stakeholder management skills.

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,CloudEndure, MGN, DataSync,Backup and DR approach/design,Network connectivity, Direct Connect, TGW and VPN, Set up of MultiAccount Architecture using Landing Zone, Control Tower, AWS Cost Management and Optimization mechanisms, Experienced in Security mechanism using AWS Security Hub, GuardDuty, 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, SageMaker AI, AgentCore, 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.
 
Design, implement, and manage secure, scalable, and highly available AWS infrastructure using cloud-native services and Infrastructure as Code.
Build and optimize CI/CD pipelines to enable automated, reliable, and efficient application and infrastructure deployments.
Proactively identify, troubleshoot, and resolve infrastructure-related issues, production incidents, and AWS platform challenges.
Analyze and remediate application performance bottlenecks, including latency, availability, capacity, connectivity, and resource utilization issues.
Drive operational excellence through monitoring, observability, automation, root cause analysis (RCA), and continuous service improvement.
Enhance platform resiliency and scalability by implementing high availability, disaster recovery, fault tolerance, and performance optimization strategies.
Provide architectural guidance and technical leadership by designing sustainable solutions to complex infrastructure and application challenges while promoting AWS and DevOps best practices.
 
Strong hands-on experience with AWS services and cloud architecture.
Expertise in CI/CD, Infrastructure as Code (Terraform/CloudFormation), and automation.
Experience with monitoring and observability tools such as CloudWatch, Grafana, Splunk, Datadog, or Prometheus.
Strong troubleshooting and root cause analysis skills.
Experience with container platforms (Docker, ECS, EKS, Kubernetes).
Solid understanding of networking, security, scalability, and reliability principles.
Excellent problem-solving, communication, and stakeholder management skills.

Skill Requirements

  • Strong hands-on experience with AWS services and cloud architecture.
  • Expertise in CI/CD, Infrastructure as Code (Terraform/CloudFormation), and automation.
  • Experience with monitoring and observability tools such as CloudWatch, Grafana, Splunk, Datadog, or Prometheus.
  • Strong troubleshooting and root cause analysis skills.
  • Experience with container platforms (Docker, ECS, EKS, Kubernetes).
  • Solid understanding of networking, security, scalability, and reliability principles.
  • Excellent problem-solving, communication, and stakeholder management skills.

Other Requirements

  1. Design, implement, and manage secure, scalable, and highly available AWS infrastructure using cloud-native services and Infrastructure as Code.
  2. Build and optimize CI/CD pipelines to enable automated, reliable, and efficient application and infrastructure deployments.
  3. Proactively identify, troubleshoot, and resolve infrastructure-related issues, production incidents, and AWS platform challenges.
  4. Analyze and remediate application performance bottlenecks, including latency, availability, capacity, connectivity, and resource utilization issues.
  5. Drive operational excellence through monitoring, observability, automation, root cause analysis (RCA), and continuous service improvement.
  6. Enhance platform resiliency and scalability by implementing high availability, disaster recovery, fault tolerance, and performance optimization strategies.
  7. Provide architectural guidance and technical leadership by designing sustainable solutions to complex infrastructure and application challenges while promoting AWS and DevOps best practices.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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