AWS AI ML Engineer Senior Manager

Protiviti•Tampa, FL

3d•$146,000 - $254,000•Hybrid

About The Position

Protiviti is seeking a Technology Consulting Senior Manager for its Infrastructure, Cloud, & Security Engineering team. The role partners with clients to identify and manage risk, solve complex business problems, and deliver strategies and technical solutions using current tools and methods. The Senior Manager builds client relationships, represents Protiviti in the business community, mentors and develops teams, and oversees successful project delivery. The position owns architecture and technical outcomes for significant AWS engagements, translating ambiguous objectives into actionable implementation plans. It leads architecture decisions across AWS infrastructure, networking, identity, security, automation, resilience, observability, operating models, and compliance. The role also develops reusable architectures and engineering standards, guides cloud engineers, reviews critical deliverables, manages technical risks and dependencies, and supports sustainable operational transitions. Responsibilities include engagement planning and estimation, pre-sales collaboration, and identifying appropriate follow-on client work. The role includes AI/ML engineering needs such as prompt engineering and agent design, RAG architectures, NLP and text extraction, document processing, confidence calibration, and working with structured-data classification and existing supervised ML outputs. The job uses a hybrid workplace model, with in-person work at Protiviti offices and client sites as well as remote work; travel may be local or out of state depending on client and project needs.

Requirements

Bachelor’s degree in a relevant discipline, such as MIS, Information Systems, or Computer Science.
At least 7 years of experience working in professional services or industry.
AWS Certified Solutions Architect – Associate certification.
Experience with prompt engineering and agent design, including Bedrock Agents, tool-use patterns, and multi-step workflows.
Experience designing RAG architectures and building and querying knowledge bases from structured procurement or contract data.
Experience with NLP and text extraction, including parsing free-text item descriptions.
Experience with document processing, such as Amazon Textract or an equivalent OCR solution for invoices and contracts.
Experience designing confidence-calibration thresholds to determine when to automate sending versus require human review.
Basic machine-learning understanding to interface with an existing supervised ML classifier and use its outputs.
Python experience and experience with 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 technical engagements across multiple workstreams and making architecture decisions amid ambiguity.
Strong client advisory and consulting leadership skills, including structured problem solving, facilitation, stakeholder management, executive communication, and accountability for outcomes.

Nice To Haves

Experience operating in consulting, professional services, or systems integration environments.
AWS Certified Solutions Architect – Professional certification.
AWS Certified Security – Specialty certification.

Responsibilities

Own architecture and technical outcomes for significant AWS engagements and translate ambiguity into implementable plans.
Advise clients on AWS implementation strategies and lead architecture decisions across networking, identity, security, automation, resilience, observability, operating models, and compliance.
Lead complex, multi-workstream technical engagements and make defensible architecture decisions.
Estimate and plan complex engagements and partner with pre-sales teams to validate architectures, effort estimates, and statements of work.
Build trusted relationships with client technology leaders through authoritative guidance and consistent delivery.
Guide and mentor cloud engineers, review critical deliverables and architecture decisions, and direct resolution of complex delivery challenges.
Manage major technical risks and dependencies and ensure sustainable operational transitions.
Identify improvements to architecture, security, reliability, automation, and operating models.
Develop reusable reference architectures, delivery patterns, engineering standards, and technical practices.
Improve team quality and efficiency through reusable architectures, standards, and engineering patterns.
Identify well-scoped follow-on work that addresses legitimate client needs.
Contribute to client proposals and strategies to win new business.
Promote a positive team culture and create development opportunities, including participation in training creation and rollout.
Implement AWS AI/ML solutions involving prompt engineering and agents, RAG, NLP and text extraction, document processing, confidence calibration, and validation or supplementation of classification outputs.

Benefits

Medical, dental, and vision coverage.
Flexible spending and health savings healthcare accounts.
Life and accident insurance.
Adoption and fertility assistance.
Paid parental leave of up to 10 weeks.
Short- and long-term disability coverage.
Company 401(k) savings and investment plan with an employer match of 50% on the first 6% of employee contributions.
Choice Time Off 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.
Annual bonus plan with eligible employees offered additional cash and/or discretionary stock compensation opportunities.