DE
Deloitte
Pittsburgh, Pennsylvania, United States
US E-Consulting Services - Agentic AI-Delivery Management Engineer II - AI & E - EAAS - 373725
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About this opportunity
Delivery Management Engineer II
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Work You'll Do
As a Delivery Management Engineer II, you will have hands-on technical skills as well as program and project management experience to drive technical projects and programs working directly with our onshore and offshore development and engineering teams. You’ll bring a mix of hands-on technical expertise with the ability to drive projects to completion managing onshore and offshore teams. You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You’ll have full life-cycle project experience with specific technical skills enabling you to be a valued technical member of our engineering teams.
Product & Service Lifecycle Management: you will work with our product or service delivery teams for AI, GenAI, and Cloud platform programs; engaging with engineering teams.
CI/CD Pipeline Design & Automation: you will design and optimize CI/CD pipelines with cloud-native and open-source tools.
Technical Project/Program Management: you will help manage technical programs/projects with your structured planning, reporting, and risk management skills.
Requirements Management / Business Analysis: you will handle requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
Containerization & Orchestration: you will manage platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
A successful candidate would possess these skills:
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Qualifications – Required Skills and Experience
4+ years experience in CI/CD pipeline design and automation with a proven track record designing and optimizing CI/CD pipelines with cloud-native and open-source tools.
Containerization & Orchestration – experience managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
3+ years hands-on experience building AI and agentic systems and 3+ years’ working with LLM agents, RAG, multi-agent systems, evaluation, and cloud-native architectures.
4+ years experience in product and lifecycle management with experience leading product or service delivery.
4+ years experience as a technical program or project manager which should include structured planning, reporting, and risk management responsibilities.
4+ years experience in requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
Bachelor’s degree in computer science, software engineering, information technology or a related field.
Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Qualifications - Preferred Skills and Experience:
Strong fluency in Python scripting for automation, integrations, and tooling customization. PMP certification and/or Scrum Master certification.
Strong fluency in Cloud Program Management with hands-on expertise with cloud infrastructure provisioning and automation (AWS, Azure, GCP).
Multi-Platform Cloud Integration experience, bridging AWS, Azure, and GCP platforms for modernization or migration projects.
Incident management and backlog oversight experience with skills around production support, incident resolution, and backlog refinement.
Knowledge of designing, securing, and implementing APIs for automating business and compliance processes.
Agile delivery experience, scrum certification, proficiency in Jira/Confluence, user story creation, requirements gathering, and backlog management.
Wages and Salary
For individuals assigned and/or hired to work in Pittsburgh , Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Pittsburgh and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,400 to $170,900.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, the individual, and organizational performance.
Why this role qualifies
AI-focused role: Role title: US E-Consulting Services - Agentic AI-Delivery Management Engineer II - AI & E - EAAS - 373725 Company evidence