Senior Manager - Microsoft Azure and AI Security

Job highlights Identified by Google from the original job post Qualifications • The ideal candidate will possess a blend of robust technical expertise in cutting-edge AI technologies and consulting acumen to ensure clients derive meaningful value from new technologies • A Bachelor’s degree is required • A minimum of seven (7) years of experience in delivering AI, software, or data-centric solutions • At least two (2) years in a leadership or client-facing consulting role • Proven experience in designing or implementing Generative AI systems within cloud environments such as Azure or AWS • Familiarity with key Generative AI patterns, including: • RAG (Retrieval-Augmented Generation) • Agent frameworks for orchestrated multi-step reasoning • Evaluation and observability practices • Proficiency in Python and experience with AI/LLM integration via APIs or SDKs • In-depth understanding of AI architecture, data integration, and model lifecycle management • Demonstrated ability to lead teams using Agile and DevOps methodologies with experience in sprint management and continuous delivery • Strong communication, stakeholder engagement, and problem-solving skills • A Master's degree • Experience with Amazon Bedrock, SageMaker, or other AWS AI services • Understanding of AI governance and risk management frameworks • Experience in regulated or complex environments such as energy, infrastructure, or the public sector • 14 more items(s) Benefits • The annual salary range for this position is $118,000.00-$196,000.00, and compensation decisions are influenced by various factors, including skills, experience, security clearances, certifications, and organizational needs • Guidehouse provides a comprehensive total rewards package that includes competitive pay and a flexible benefits selection, reflecting our commitment to a diverse and supportive workplace • Medical, Rx, Dental & Vision Insurance • Personal and Family Sick Time & Company Paid Holidays • Potential for a discretionary variable incentive bonus • Parental Leave and Adoption Assistance • 401(k) Retirement Plan • Basic Life & Supplemental Life Insurance • Health Savings Account and Flexible Spending Accounts • Short-Term & Long-Term Disability • Student Loan PayDown • Tuition Reimbursement and Learning Opportunities • Skills Development and Certifications • Employee Referral Program • Corporate Sponsored Events & Community Outreach • Emergency Back-Up Childcare Program • Mobility Stipend • 14 more items(s) Responsibilities • Travel Required: Up to 10% • What You Will Do: We are looking for a passionate Lead AI Development Specialist to spearhead the design, development, and delivery of innovative AI solutions, with a focus on Generative AI, aimed at transforming client operations through intelligent automation • This hands-on role requires a dynamic leader to guide agile teams in the creation of AI-driven Minimum Viable Products (MVPs), while providing strategic advice on architecture, deployment, and governance • Drive the comprehensive delivery of AI MVPs, starting from use case identification through to demonstration and refinement, collaborating closely with clients throughout the process • Architect solutions and technical roadmaps that effectively integrate AI components within client cloud infrastructures • Supervise model development, validation, and integration with user interfaces to produce functional prototypes • Facilitate MVP demonstrations to stakeholders, gather feedback, and iterate on solutions based on post-deployment insights • Build and maintain robust data pipelines for data processing, transformation, and feeding data into AI frameworks • Agile Development & Team Enablement • Lead the execution of agile development sprints and manage SCRUM events to ensure high quality, timely delivery, and alignment with stakeholder expectations • Mentor and empower developers and data scientists, promoting collaboration and excellence in AI engineering practices • Assist in backlog prioritization and delivery tracking across diverse teams • Generative AI & Technical Advisory • Utilize Generative AI and Large Language Model (LLM) techniques to automate and enhance operational workflows and compliance activities • Refine prompt engineering and context enrichment methodologies for AI applications • Analyze and enhance existing AI toolsets and processes to boost scalability and improve delivery effectiveness • Provide guidance on deployment strategies including security considerations, performance tuning, and data integration practices • Conduct assessments to determine operational readiness, evaluating the resilience and maintainability of solutions • Design lightweight model monitoring and retraining frameworks to ensure ongoing relevance and accuracy • Support adherence to AI governance principles, ensuring solutions comply with organizational standards and risk management practices • Act as the primary technical lead for clients, ensuring effective communication and success in delivery • Collaborate with cross-functional teams to accelerate prototyping and iterative development • Oversee the deployment and management of applications and models in cloud environments, employing infrastructure-as-code and best practices in DevOps • Model monitoring and retraining systems • 21 more items(s) More job highlights Job description Job Family: Data Science Consulting

Travel Required: Up to 10%

Clearance Required: None

What You Will Do: We are looking for a passionate Lead AI Development Specialist to spearhead the design, development, and delivery of innovative AI solutions, with a focus on Generative AI, aimed at transforming client operations through intelligent automation. This hands-on role requires a dynamic leader t...o guide agile teams in the creation of AI-driven Minimum Viable Products (MVPs), while providing strategic advice on architecture, deployment, and governance.

The ideal candidate will possess a blend of robust technical expertise in cutting-edge AI technologies and consulting acumen to ensure clients derive meaningful value from new technologies.

AI Delivery Leadership

• Drive the comprehensive delivery of AI MVPs, starting from use case identification through to demonstration and refinement, collaborating closely with clients throughout the process.

• Architect solutions and technical roadmaps that effectively integrate AI components within client cloud infrastructures.

• Supervise model development, validation, and integration with user interfaces to produce functional prototypes.

• Facilitate MVP demonstrations to stakeholders, gather feedback, and iterate on solutions based on post-deployment insights.

• Build and maintain robust data pipelines for data processing, transformation, and feeding data into AI frameworks.

Agile Development & Team Enablement

• Lead the execution of agile development sprints and manage SCRUM events to ensure high quality, timely delivery, and alignment with stakeholder expectations.

• Mentor and empower developers and data scientists, promoting collaboration and excellence in AI engineering practices.

• Assist in backlog prioritization and delivery tracking across diverse teams.

Generative AI & Technical Advisory

• Utilize Generative AI and Large Language Model (LLM) techniques to automate and enhance operational workflows and compliance activities.

• Refine prompt engineering and context enrichment methodologies for AI applications.

• Analyze and enhance existing AI toolsets and processes to boost scalability and improve delivery effectiveness.

• Provide guidance on deployment strategies including security considerations, performance tuning, and data integration practices.

• Conduct assessments to determine operational readiness, evaluating the resilience and maintainability of solutions.

• Design lightweight model monitoring and retraining frameworks to ensure ongoing relevance and accuracy.

• Support adherence to AI governance principles, ensuring solutions comply with organizational standards and risk management practices.

• Act as the primary technical lead for clients, ensuring effective communication and success in delivery.

• Collaborate with cross-functional teams to accelerate prototyping and iterative development.

• Oversee the deployment and management of applications and models in cloud environments, employing infrastructure-as-code and best practices in DevOps.

What You Will Need:

• A Bachelor’s degree is required.

• A minimum of seven (7) years of experience in delivering AI, software, or data-centric solutions.

• At least two (2) years in a leadership or client-facing consulting role.

• Proven experience in designing or implementing Generative AI systems within cloud environments such as Azure or AWS.

• Familiarity with key Generative AI patterns, including:

• RAG (Retrieval-Augmented Generation)

• Agent frameworks for orchestrated multi-step reasoning

• Evaluation and observability practices

• Model monitoring and retraining systems

• Proficiency in Python and experience with AI/LLM integration via APIs or SDKs.

• In-depth understanding of AI architecture, data integration, and model lifecycle management.

• Demonstrated ability to lead teams using Agile and DevOps methodologies with experience in sprint management and continuous delivery.

• Strong communication, stakeholder engagement, and problem-solving skills.

What Would Be Nice To Have:

• A Master's degree.

• Experience with Amazon Bedrock, SageMaker, or other AWS AI services.

• Understanding of AI governance and risk management frameworks.

• Experience in regulated or complex environments such as energy, infrastructure, or the public sector.

The annual salary range for this position is $118,000.00-$196,000.00, and compensation decisions are influenced by various factors, including skills, experience, security clearances, certifications, and organizational needs.

What We Offer:

Guidehouse provides a comprehensive total rewards package that includes competitive pay and a flexible benefits selection, reflecting our commitment to a diverse and supportive workplace.

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Potential for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life Insurance

• Health Savings Account and Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement and Learning Opportunities

• Skills Development and Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About Guidehouse: Guidehouse is an Equal Opportunity Employer.

We hire individuals based on merit, and we welcome applications from protected veterans and qualified individuals with disabilities.

Guidehouse is committed to compliance with applicable laws regarding employment.

For more information on employment opportunities or to apply for a position, please reach out to Guidehouse Recruiting.

All candidates requiring accommodations will have their information treated confidentially, ensuring a seamless recruitment experience.

We advise candidates that correspondence regarding recruitment will originate from Guidehouse email domains only.

Avoid engaging with entities that claim to represent Guidehouse from non-official domains.

Guidehouse will never ask for fees or personal banking information during recruitment.

If you suspect any fraudulent activity related to job opportunities at Guidehouse, please report it to our Ethics Hotline.

Guidehouse does not accept unsolicited resumes through third parties and all unsolicited resumes will remain the property of Guidehouse.

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