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AWS Solutions Architect – GenAI & Agentic AI

  • Source: LinkedIn
  • Eficens Systems
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

About Eficens

Eficens is an AWS Advanced Tier Consulting Partner. We help growing businesses design, build and scale on AWS, with a strong focus on generative AI and agent-based solutions.

The role

You’ll be the technical lead for our customers. You’ll own each engagement from the first technical conversation to an approved architecture: understanding the problem, designing the AWS solution, making the cost and security case, and handing a solid design to our delivery team.

What you’ll do

  • Run technical discovery with CTOs and engineering teams, and turn business goals into AWS architectures
  • Design GenAI and agentic AI solutions on AWS: Amazon Bedrock (Agents, AgentCore, Knowledge Bases, Guardrails), RAG pipelines, SageMaker, and serverless services (Lambda, Step Functions, API Gateway)
  • Build cost estimates and optimization plans, including costs specific to LLMs such as token usage, model choice, and throughput
  • Design secure architectures from the start: IAM, KMS, VPC design, multi-account landing zones, and data protection and guardrails for AI workloads
  • Apply the AWS Well-Architected Framework and run architecture reviews
  • Prepare technical documentation for AWS partner programs, including MAP and GenAI program submissions
  • Work with AWS account managers, partner managers and solutions architects on joint customer engagements
  • Write reference architectures, solution briefs and technical case studies
  • Stay current on AWS AI services and share what you learn with the team

What we’re looking for

  • 3–5 years of hands-on AWS experience, including at least 2 years designing solutions (not only operations or support)
  • Has built at least one GenAI solution on AWS (Bedrock or SageMaker) and can explain the trade-offs: RAG vs. fine-tuning, model selection, cost vs. performance
  • Solid understanding of AWS security and cost optimization best practices
  • Able to explain technical designs clearly to both technical and business audiences
  • Strong communication skills; comfortable leading calls with customers
  • AWS Certified Solutions Architect (Professional preferred)
  • Willing to work in US-overlap hours (IST evenings)

Good to have

  • Experience at an AWS consulting partner, with exposure to ACE, MAP or Well-Architected reviews
  • Experience working with SMB customers
  • AWS Certified Generative AI, Machine Learning or Security Specialty
  • Infrastructure as code (Terraform, CDK or CloudFormation)
  • Exposure to compliance frameworks such as HIPAA or SOC 2

Skills

  • amazon-web-services
  • bedrock
  • guardrails
  • amazon-sagemaker
  • serverless
  • aws-lambda
  • aws-step-functions
  • amazon-api-gateway
  • google-vpc
  • amazon-machine-learning
  • Terraform

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