Design and lead team through implementation of GenAI applications and solutions on AWS, including use of agent frameworks, vector data stores, Sagemaker Jumpstart and Amazon Bedrock
Facilitate design sessions with clients and Mission Cloud team to create the strategy, architecture, and implementation plan for GenAI projects
Build and implement technical roadmaps in collaboration with other Solution Architects and Project Managers that are in alignment with customer goals and objectives
Communicate the proposed solution to clients so they understand the benefits, translating the technical elements into business language
Develop strategic roadmaps and project plans based on customer goals
Work with GenAI Engineers and Architects to break down complex development plans into LOE estimates, design documents and project plans
Implementation of customer roadmaps in coordination with GenAI Engineers; build and maintain Jira backlog, and ensure project tasks are completed on time, high quality, and progress toward the project goals
Document customer technical solutions that have been implemented in alignment with Mission standards
Be the technical liaison between customers and engineering teams; communicate complex technical concepts in easy-to-understand non-technical language
Work with Project Managers to set customer expectations, drive alignment, and coordinate timelines
Support pre-sales engineers in proposal design and positioning, including helping define an approach to solving a prospect’s technical challenges and helping the business development team estimate and plan projects
Be an escalation point for high-level technical and client issues
Mentor GenAI Engineers and more junior consultants
Support process improvement initiatives for GenAI projects
Support recruiting efforts by participating on interview panels

Requirements

Proven experience designing and implementing creative GenAI and ML solutions leveraging the latest tools and frameworks, especially from AWS
Experience designing vector data store solutions including database selection, configuration and schema setup
Strong python experience
Experience with GenAI application architecture design
Experience working with data pipelines, and demonstrated ability to handle unstructured, semi-structured data, working in a data lake environments
Experience with IAC solutions such as Terraform, AWS CDK or CloudFormation
Ability to lead projects, train, and mentor more junior team members
Ability to work with implementation of application and data security, encryption, PII/PSI legislation, identity and access management across environments
AWS Certified AI Practitioner Certification (required within 6 months of hire)
AWS Solution Architect - Associate Certification (required within 6 months of hire)
Additional AWS Specialty or Professional Certification (required within 1 year of hire)
Ability to architect a solution using the broader AWS ecosystem including VPC, IAM EC2, and Lambda functions, a plus.
Web development experience, especially in designing and hosting web apps or working with React, a plus.
Demonstrated knowledge of software development lifecycle tools and methodologies including version management with git and CI/CD pipelines and tooling, a plus.
Demonstrated experience with containerization and dependency management strategies, a plus.

Benefits

Annual bonus target of 10% subject to terms and conditions of plan

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GenAI solutionsmachine learningPythonvector data store designdata pipelinesinfrastructure as codeTerraformAWS CDKCloudFormationapplication security

Soft Skills

project leadershipmentoringcommunicationcollaborationproblem-solvingclient liaisonprocess improvementtrainingexpectation managementtechnical documentation

Certifications

AWS Certified AI PractitionerAWS Solution Architect - AssociateAWS Specialty CertificationAWS Professional Certification