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Protiviti

Senior AWS AI/ML Engineer

Protiviti

. Partner with clients to identify and manage risk .

Posted 11/3/2026full-timeUnited StatesSenior💰 $146,000 - $254,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AWS architecture and implementation, with a strong focus on delivering quality solutions and managing client relationships. Proven ability to mentor teams, oversee project execution, and navigate complex technical challenges in a professional services environment.

Highest-signal resume keywords
AWS Certified Solutions Architect – AssociateAWS Well-Architected FrameworkPython ProgrammingCloud Engineering LeadershipEnterprise AWS Environment Design

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
AWS Tools and MethodsDocument Processing Using Amazon TextractNLP/Text ExtractionPrompt EngineeringMulti-Step WorkflowsStructured Data ClassificationInfrastructure as CodeCI/CDAutomationRAG Architecture
Soft Skills
Client Advisory SkillsStakeholder ManagementExecutive CommunicationStructured Problem SolvingMentoring
Tools & Technologies
LangChainOCR ToolsAWS ServicesCloud InfrastructureAutomation Tools
Certifications & Qualifications
AWS Certified Solutions Architect – ProfessionalAWS Certified Security – Specialty
Industry Keywords
Professional ServicesSystems IntegrationTechnical EngagementsGovernanceCompliance Requirements

Tech Stack

Tools & technologies
AWSCloudPython

About the role

Key responsibilities & impact
  • Partner with clients to identify and manage risk
  • Develop strategies and solutions for complex business problems using AWS tools and methods
  • Deliver quality products and build lasting relationships with client personnel
  • Foster a business-community network and serve as a Protiviti market ambassador
  • Mentor teams and provide performance development
  • Oversee successful completion of project work plans
  • Own architecture and technical outcomes for significant AWS engagements
  • Translate ambiguity into implementable AWS plans
  • Provide authoritative guidance to client technology leaders
  • Improve team quality and efficiency through reusable architectures, standards, and engineering patterns
  • Identify legitimate, well-scoped follow-on client work
  • Translate objectives into AWS implementation strategies
  • Lead architecture decisions across networking, identity, security, automation, resilience, observability, operating models, AWS Well-Architected, and compliance requirements
  • Guide and mentor cloud engineers
  • Review critical deliverables and architecture decisions
  • Direct resolution of complex delivery challenges
  • Ensure sustainable operational transition
  • Manage major technical risks and dependencies
  • Identify improvements to architecture, security, reliability, automation, and operating models
  • Develop reusable reference architectures, delivery patterns, and technical standards
  • Contribute to client proposals and strategies to win new business
  • Integrate product solutions and resources to improve client service capabilities

Requirements

What you’ll need
  • Bachelor’s degree in a relevant discipline, such as MIS, IS, or Computer Science
  • 7+ years working in professional services or industry
  • Required: AWS Certified Solutions Architect – Associate
  • Preferred: AWS Certified Solutions Architect – Professional and AWS Certified Security – Specialty
  • Prompt engineering and agent design, including Bedrock Agents, tool-use patterns, and multi-step workflows
  • RAG architecture for structured procurement and contract data
  • NLP/text extraction for free-text item descriptions
  • Document processing using Amazon Textract or equivalent OCR tools
  • Confidence calibration and thresholds for automated sending versus human review
  • Basic ML understanding and ability to interface with supervised ML classifier outputs
  • Python and LangChain or equivalent agent frameworks
  • Experience with structured data classification and validating or supplementing classification outputs
  • Extensive experience designing and implementing enterprise AWS environments across infrastructure, networking, security, governance, migration, observability, infrastructure as code, automation, CI/CD, and platform engineering
  • Experience leading complex, multi-workstream technical engagements and making architecture decisions amid ambiguity
  • Experience estimating and planning complex engagements and partnering with pre-sales teams on architectures, effort estimates, and statements of work
  • Strong client advisory and consulting leadership skills, including structured problem solving, facilitation, stakeholder management, executive communication, and accountability for outcomes
  • Experience in consulting, professional services, or systems integration environments strongly preferred
  • Background check required as a condition of employment
  • Ability to work in a hybrid model, in local offices and on client sites, with local or out-of-state travel as required

Benefits

Comp & perks
  • Annual bonus plan with 14% bonus target opportunity and/or discretionary stock compensation opportunities
  • Medical, dental, and vision coverages
  • FSA and HSA healthcare accounts
  • Life and accident insurance
  • Adoption and fertility assistance
  • Paid parental leave up to 10 weeks
  • Short- and long-term disability
  • 401(k) savings and investment plan with employer match of 50% on the first 6% of contributions
  • Choice Time Off (CTO) for vacation, personal needs, and sick time; new hires receive up to 20 days per calendar year
  • Up to 11 paid holidays each calendar year
  • Hybrid work model combining in-person and remote work
  • Flexible work environment
  • Professional development, mentoring, and training opportunities