AWS Tech Lead

AuxoAI Engineering

San Francisco (CA)

On-site

USD 250,000 - 360,000

Full time

14 days+
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Job summary

AuxoAI, an AI-native, production-led company in San Francisco, seeks an AWS Practice Lead to drive the technical strategy, delivery, and growth of our AWS practice in the U.S. The role demands senior leadership, deep AWS expertise, and strong customer-facing consulting experience.

You will design and deliver large-scale cloud, data, and AI transformations, expand our AWS partnership, and develop repeatable solutions that accelerate customer outcomes.

Qualifications

  • Over 12 years of cloud architecture, technology consulting, or related leadership experience.
  • At least 5 years of hands-on AWS architecture experience.
  • Proven track record delivering large-scale cloud transformation programs for enterprise customers.

Responsibilities

  • Define and drive AWS architecture strategy across enterprise engagements.
  • Lead architecture reviews and provide technical oversight for complex programs.
  • Partner with delivery, engineering, and account teams to execute AWS programs successfully.
  • Ensure solutions align with AWS Well-Architected principles and security requirements.
  • Build and scale the AWS practice through mentoring and capability development.
  • Lead executive briefings, architecture workshops, and solution-design engagements.
  • Translate business challenges into scalable cloud, data, and AI solutions.

Skills

AWS Architecture
Cloud Strategy
Leadership
Client Engagement
Executive Communication

Education

Bachelor's degree in a relevant field

Tools

EC2
S3
RDS
VPC
IAM
Route 53
Elastic Load Balancing
Control Tower
Security Hub
GuardDuty
KMS
CloudTrail
Bedrock
SageMaker

Job description

San Francisco, United States | Posted on 09/28/2026

AuxoAI is an AI-native,production-led company that makes AI real for G2000 enterprises. AuxoAI embedsForward Deployed Engineers powered by a proprietary AI workbench insideenterprises, turning AI ambition into production outcomes — across data, workflows,and AI-led experiences. AuxoAI works with over 40 marquee enterprises in NorthAmerica today.

The Role

AuxoAI is seeking an AWS Practice Lead to lead the technical strategy, delivery, and growth of our AWS practice in the U.S.

This is a senior leadership role for someone who combines deep AWS architecture expertise with strong customer-facing and consulting experience. You will work directly with enterprise customers, AWS stakeholders, sales leaders, and engineering teams to design and deliver large-scale cloud, data, and AI transformation initiatives.

You will also play a key role in expanding AuxoAI's AWS partnership, building technical capabilities across the organization, and developing repeatable solutions that accelerate customer outcomes.

What you will do

Lead AWS Architecture & Technical Strategy

Define and drive AWS architecture strategy across enterprise engagements.

Design scalable, secure, resilient, and cost-effective cloud solutions.

Establish architecture standards, governance frameworks, and technical best practices.

Lead architecture reviews and provide technical oversight for complex transformation programs.

Serve as a senior escalation point for critical technical decisions and challenges.

Drive Delivery Excellence

Partner with delivery, engineering, and account teams to successfully execute AWS programs.

Provide technical direction to architects and engineering teams throughout the delivery lifecycle.

Ensure solutions align with AWS Well-Architected principles and enterprise security requirements.

Identify technical and delivery risks early and develop mitigation strategies.

Maintain a high standard of technical quality across customer engagements.

Partner with AWS & Enterprise Customers

Serve as a senior technical leader for AuxoAI's AWS partnership.

Collaborate with AWS teams on joint customer opportunities and go-to-market initiatives.

Lead executive briefings, architecture workshops, discovery sessions, and solution-design engagements.

Translate complex business challenges into practical cloud, data, and AI solutions.

Support pre-sales activities, proposals, solution development, and technical presentations.

Advance AI, Data & GenAI Solutions

Architect enterprise AI/ML, Generative AI, and data solutions on AWS.

Design modern AI applications leveraging services such as Amazon Bedrock and SageMaker.

Advise customers on AI adoption, cloud modernization, data architecture, and transformation strategy.

Drive innovation across Generative AI, Agentic AI, intelligent automation, and emerging AWS capabilities.

Help customers move AI initiatives from experimentation into scalable production environments.

Build & Scale the AWS Practice

Build, mentor, and develop AWS architects and engineers.

Establish technical standards and career development pathways across the practice.

Drive AWS certification and skills-development initiatives.

Develop reusable frameworks, accelerators, reference architectures, and solution assets.

Partner with Talent Acquisition and business leaders to hire and scale the AWS practice.

Contribute to practice strategy, capability development, and revenue growth.

Requirements

What we're looking for:

Experience

12+ years of experience in cloud architecture, technology consulting, enterprise architecture, or related technical leadership roles.

5+ years of hands-on AWS architecture experience.

Demonstrated experience designing and delivering large-scale cloud transformation programs.

Experience working directly with enterprise customers and senior stakeholders.

Strong consulting, communication, and executive presentation skills.

Experience leading technical teams across complex customer engagements.

Technical Expertise

Strong experience across the AWS ecosystem, including:

AWS Core Infrastructure: EC2, S3, RDS, VPC, IAM, Route 53, Elastic Load Balancing, Control Tower

Security & Governance: Security Hub, GuardDuty, KMS, CloudTrail

AI/ML & Generative AI: Amazon Bedrock, SageMaker, LLMs, RAG architectures, vector databases, and MLOps

You don't need to be equally deep in every service, but you should have the technical breadth to architect enterprise solutions and the depth to guide engineering teams through complex decisions.

Leadership & Consulting Skills

Ability to communicate complex technical concepts to both technical and executive audiences.

Strong executive presence and customer-facing communication skills.

Experience leading technical workshops, discovery sessions, and architecture discussions.

Ability to influence stakeholders across engineering, product, sales, and customer organizations.

Demonstrated experience mentoring and developing technical talent.

Strong business acumen and a customer-first mindset.

Preferred Qualifications

AWS certifications such as Solutions Architect – Professional, DevOps Engineer – Professional, Machine Learning, or Security Specialty.

Experience working within the AWS Partner Network (APN).

Experience with AWS co-sell motions and partner-led opportunities.

Experience building or scaling an AWS consulting or professional services practice.

Multi-cloud experience across Google Cloud and/or Microsoft Azure.

Experience delivering enterprise AI and Generative AI solutions.

Experience supporting customers in regulated industries such as financial services, healthcare, telecommunications, or other highly regulated environments.

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