AWS Delivery Lead

AuxoAI Inc.; Hyderabad; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

AuxoAI Engineering Pvt. Ltd. is seeking an AWS Practice Lead to drive architecture strategy, delivery excellence, and customer engagement across enterprise AWS initiatives.

You will design scalable, secure cloud and AI solutions, lead cross‑functional teams, and collaborate with AWS stakeholders to position AuxoAI as a leading Enterprise AI and Cloud Transformation partner. The role emphasizes technical leadership, delivery governance, and practice building, with a focus on GenAI, data strategy,

Qualifications

• 12+ years in cloud architecture / consulting / enterprise technology.
• 5+ years of hands‑on AWS architecture experience.
• Strong stakeholder management and consulting skills.

Responsibilities

• Define and drive AWS architecture strategy across engagements.
• Lead architecture reviews and ensure delivery aligned with AWS Well‑Architected principles.
• Mentor AWS architecture and engineering teams.
• Lead customer workshops, executive briefings, and solution design sessions.
• Drive AI/GenAI initiatives on AWS and data strategy.

Skills

AWS architecture

Stakeholder management

Cloud strategy

Leadership

Pre-sales

GenAI & AI in AWS

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

Role Summary

The AWS Practice Lead is a senior technical leader responsible for driving AWS architecture, delivery excellence, customer engagement, and practice growth at AuxoAI. This role involves designing enterprise‑scale cloud and AI solutions, leading cross‑functional teams, and working closely with AWS stakeholders to position AuxoAI as a leading Enterprise AI and Cloud Transformation partner.

Key Responsibilities

1. Technical Leadership
   • Define and drive AWS architecture strategy across engagements
   • Design scalable, secure, resilient, and cost‑effective solutions
   • Establish architecture standards, governance, and best practices
   • Lead architecture reviews and provide oversight on complex programs
2. Delivery Leadership
   • Partner with delivery and account teams to ensure successful execution
   • Guide engineering teams on technical decisions and challenges
   • Ensure delivery quality aligned with AWS Well‑Architected principles
   • Identify and mitigate risks across projects
   • Act as the technical lead for AWS partnership initiatives
   • Collaborate with AWS teams on joint opportunities
   • Lead customer workshops, executive briefings, and solution design sessions
   • Support pre‑sales, proposals, and technical presentations
   • Lead AI/ML, Generative AI, and data analytics solutions on AWS
   • Architect modern AI applications using AWS services (e.g., Bedrock, SageMaker)
   • Advise customers on AI adoption, modernization, and data strategy
   • Drive innovations in GenAI, Agentic AI, and automation
3. Practice Building
   • Build and mentor AWS architecture and engineering teams
   • Drive certifications and skill development
   • Create reusable frameworks, accelerators, and best practices
   • Support hiring and growth of the AWS practice

Required Qualifications

Experience

• 12+ years in cloud architecture / consulting / enterprise technology
• 5+ years of hands‑on AWS architecture experience
• Strong stakeholder management and consulting skills

Technical Skills

• AWS Core: EC2, S3, RDS, VPC, IAM, Route 53, ELB, Control Tower
• Security & Governance: Security Hub, GuardDuty, KMS, CloudTrail

Leadership Skills

• Strong communication and executive presentation abilities
• Experience leading workshops and influencing stakeholders
• Proven team mentoring and leadership capabilities
• Customer‑centric mindset with strong business acumen

Preferred Qualifications

• AWS Certifications (Solutions Architect Professional, DevOps, ML, Security)
• Experience with AWS Partner Network (APN) and co‑sell programs
• Exposure to regulated industries (BFSI, Healthcare, Telecom, etc.)

Success Metrics

• Successful delivery of strategic AWS engagements
• Growth in AWS services revenue and customer satisfaction
• Expansion of AWS partnerships and go‑to‑market initiatives
• Increase in AWS‑certified talent and reusable solution assets
• Establishment of AuxoAI as a trusted AWS & AI transformation partner