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Added 3 mins ago
AI Engineer
Awesome Motive
Remote, United States
Designing and building LLM pipelines with solid prompt design, structured and validated output, RAG, guardrails, and agentic workflows.
Added 21 mins ago
J
Director, Organic Acquisition
Jobgether
Remote, United States
- $154,200 to $192,750 USD / year
Develop, own, and execute the overall organic acquisition strategy, covering technical SEO, content optimization, AEO, LLM visibility, and emerging search technologies.
Added 26 mins ago
AI Engineer
Awesome Motive
Remote, United States
Designing and building LLM pipelines with solid prompt design, structured and validated output, RAG, guardrails, and agentic workflows.
Added 40 mins ago
Technology Consultant 2 - Microsoft AI Solutions
U.S. Bank National Association
Gresham, OR · Hopkins, MN · Brookfield, WI · Irving, TX · Earth City, MO · Saint Paul, MN
Prototype emerging GenAI and LLM capabilities and translate concepts into scalable solutions.
Added 52 mins ago
Staff Security Engineer
Jobgether
Remote, United States
Strong understanding of AI coding agents and LLM-based systems, including their architecture, limitations, vulnerabilities, and potential manipulation techniques.
Added 52 mins ago
Geospatial and Digital Innovation Development Leader
Jobgether
Remote, United States
Innovation and Technology Evaluation: Evaluate and pilot emerging technologies, including GeoAI, large language model (LLM)-assisted data compilation, automated metadata generation, defect…
Added 2 hours ago
ConvergeFSI - Lead UI Engineer - Products & Platforms
Deloitte
Kansas City, MO
…versioning and backward compatibility, in systems where an LLM or agent selects the component or flow to render at…
Added 2 hours ago
ConvergeFSI - Lead UI Engineer - Products & Platforms
Deloitte
Saint Louis, MO
…versioning and backward compatibility, in systems where an LLM or agent selects the component or flow to render at…
Added 2 hours ago
Chief Information Security Officer
Jobgether
Remote, United States
Added 2 hours ago
DN
AWS Cloud Data Engineer 3065-18
Delaware Nation Industries
Dahlgren, VA
- $150,000 to $170,000 USD / year
…agentic services, hosted models, and large language model (LLM) optimization. The role integrates data engineering, FinOps, Zero Trust security, and AI/ML infrastructure responsibilities…
Added 2 hours ago
DN
AWS Cloud Data Engineer 3065-19
Delaware Nation Industries
Dahlgren, VA
- $150,000 to $170,000 USD / year
…agentic services, hosted models, and large language model (LLM) optimization. The role integrates data engineering, FinOps, Zero Trust security, and AI/ML infrastructure responsibilities…
Added 3 hours ago
Lead Engineer, Member Growth
Jobgether
Remote, United States
Experience delivering LLM-powered product features, including natural-language data queries or AI agents.
Added 4 hours ago
Senior Copy Editor
Chewy, Inc.
Plantation, FL · Boston, MA
1-2 years of copy-editing experience working with generative AI or an LLM.
Added 4 hours ago
Co-founder & CTO, AI for predictable drug discovery and development
Deep Science Ventures
Remote, United States
…biological reasons, using evidence available before the result. An LLM may already know a historical outcome, so retrospective tests need safeguards against contamination as well as…
Added 4 hours ago
Co-founder & CTO, AI for predictable drug discovery and development
Deep Science Ventures
Remote, United States
…biological reasons, using evidence available before the result. An LLM may already know a historical outcome, so retrospective tests need safeguards against contamination as well as…
Added 6 hours ago
TT
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $230,000 to $300,000 USD / year
- Design platform capabilities such as workspaces, permissions, billing, usage, SDKs, and developer workflows.
Added 6 hours ago
TT
Founding Senior Engineer
True Talent Solutions Partners
New York, NY
- $175,000 to $225,000 USD / year
- Experience building production-grade LLM-powered or agentic systems with third-party API integrations and end-to-end ownership.
Added 6 hours ago
TT
Staff Product Manager
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
- Experience shipping core AI or LLM products to production and managing agentic systems, including evaluation, latency, model behavior, and context.
Added 6 hours ago
AI/ML Engineering Co-op - Spring 2027
CACI International
King of Prussia, PA
Experience with Large Language Models (LLM), vector databases (e.g. ChromaDB, Weaviate)
Added 7 hours ago
AI Chat R&D Trainee - Full-Stack Engineer (Go Backend) - Bilingual Mandarin
CWILL
Remote, United States
AI projects such as LLM apps, prompting, RAG, agents, knowledge bases or chatbots
Added 7 hours ago
AI SEO R&D Trainee - Full-Stack Engineer (Go Backend) - Bilingual Mandarin
CWILL
Remote, United States
AI projects such as LLM apps, prompting, RAG, content generation or automated analysis
Added 7 hours ago
CI
Senior Full Stack Product Engineer
CubX Inc.
Lakewood, NJ
- $90,000 to $150,000 USD / year
Experience building AI-powered application features using LLM APIs, structured outputs, tool calling, retrieval, or model evaluations.
Added 8 hours ago
Data and AI : Go-to-Market - Director (Greater New York)
Slalom, Inc.
New Brunswick, NJ
…assessments and governed data foundations, to agentic AI workflows, LLM/GenAI applications, and operationalized AI at scale. Comfortable discussing responsible AI, model governance, and AI…
Added 8 hours ago
HR Operations Manager
CrewAI
Remote, United States
Access to LLM credits and cutting-edge tooling.
Added 8 hours ago
C
Senior Google AI Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
…Online/Batch Prediction, Feature Store, Model Monitoring) and Gemini/LLM services - optimized for performance, cost, and…

Closed listing

Deloitte US

Engineering Delivery Manager II

Atlanta, GA, United States
Dallas, TX, United States
Hermitage, TN, United States
Jersey City, NJ, United States
Morristown, NJ, United States
NY, United States
Tampa, FL, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Closing date: Dec 18, 2026
Experience: 10+ years of delivery management with direct experience leading a cross-functional program or set of programs with meaningful dependencies and multiple stakeholders.
Posting language: English
Posted: Aug 13, 2026

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Original job description

Archived listing. The details below describe a past opening.

As a Delivery Manager, you hold program-level execution accountable on a day-to-day basis within Deloitte's Product Engineering organization, one or more product teams operating against a shared set of intents. Delivery in this organization operates inside an intent-driven development model with three concurrent layers - governance, execution, and learning - that run simultaneously. Execution advances in evidence-gated dashes, not sprints. The activities that used to define this role - status compilation, schedule maintenance, risk-log upkeep, and ceremony documentation - are increasingly AI-assisted. What remains, and grows, is the judgment work: cross-team coordination on initiatives larger than a single product team can self-coordinate, stakeholder alignment, dependency management, and the operational discipline that keeps evidence-gated delivery. Recruiting for this role ends on September 22nd 2026.

Work you'll do:

Program-level coordination for one significant initiative or a set of related programs. Ensure dashes start when slices are ready and end when deployed evidence confirms the intended behavior shifted.
Day-to-day stakeholder orchestration with internal Deloitte stakeholders at the program level, including reconciliation of AI-drafted artifacts when stakeholders arrive with their own briefs.
Drive cost-efficient adoption of LLM, agentic AI, and cloud platforms through effective governance, FinOps practices, and consumption optimization.
Operational integrity of the evidence-gated cycle in your scope: proof signals being read, harm watches honored and exit gates respected before slices expand.

Core Responsibilities

Outcome-Driven Leadership: Deliver the right customer and business outcomes by engaging product teams on structure, skills, leverage models, and measurement. Scope dashes against ready slices and observable evidence, so work advances when deployed evidence confirms the behavior shifted - not at a sprint boundary.
Delivery Leadership and Advocacy: Champion fit-for-context delivery methodologies and work with Product Managers to drive priorities and execution. Form skilled teams, remove roadblocks, and set cadence to the rhythm the program needs. Surface coordination friction before it becomes a blocker, escalating to the Delivery Leader when it exceeds your authority.
Craft Mastery: Foster delivery excellence through quality processes, program value delivery, and team growth - coaching junior professionals via pairing, observation, and feedback. Experiment with new tools like GenAI and support the AI Workflow Orchestrator on your program, knowing which workflows are AI-driven and how exceptions route. Spread knowledge through community sessions.
Communication: Inspire and influence stakeholders, serving as the contact for value achievement across product engineering teams. Communicate status accurately on the cadence the program needs. Hold the room when stakeholders disagree: surface trade-offs, recommend a path, drive to decision. Facilitate co-creation workshops.
Cross-Functional Collaboration: Work as a connected member of the program alongside the triad ensemble (Product, Engineering and Experience) and cross functional groups. Maintain a live picture of dependencies across the product teams and platform services you touch. Manage conflict, foster collaboration, and enable cross-skilling.
Discovery & Delivery Proficiency: Apply deep SDLC expertise with continuous planning and refinement. Watch for drift between intent and execution and raise it early. Hold evidence-gate discipline - proof signals read, harm watches honored, exits and expansions respected. Identify risks, adapt scope, and embed continuous improvement.
Customer-Centric Delivery: Drive lean solutions through rapid experimentation, engaging customers before, during, and after delivery to land the right solution effectively.
Operational Excellence: Build inclusive, engaged teams; remove obstacles and coach; improve satisfaction and reduce attrition. Govern the intake of AI-drafted artifacts so they become productive inputs, not noise. Report on financials, innovation, and engagement, and drive efficiency and productivity.
Engagement and Collaborative Co-Creation: Engage stakeholders at all levels and foster a culture of co-creation. Hold the relationship with program sponsors and affected stakeholders, informing them in proportion to their stake, and reconcile conflicting AI-generated artifacts on the same initiative. Align diverse perspectives to deliver quality solutions.
Domain Expertise: Rapidly acquire domain-specific knowledge and navigate enterprise functions to drive product value and organizational alignment.

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 mentor and provide clear guidance to others

The Team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value and outcomes. It leverages a progressive and responsive talent structure across a four-capability matrix: Product, Experience, Engineering, and Delivery. As Deloitte's primary product development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results. We develop and deploy cutting-edge go-to-market solutions that help Deloitte operate effectively and lead in the market.

Qualifications

Required:

10+ years of delivery management with direct experience leading a cross-functional program or set of programs with meaningful dependencies and multiple stakeholders.
Experience operating inside an Agile or Lean model and demonstrated readiness to operate inside intent-driven, evidence-gated delivery patterns.
Experience working in a product-staffed model where durable product teams stay with their products across build, deploy, operate, and evolve.
Strong expertise in AI/Cloud FinOps, budget management, financial forecasting, vendor management, cost optimization, and data-driven delivery governance.
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Candidates must be located within a commutable distance to one of the select locations available for this role
Ability to work in your local office at a minimum of 3 days per week

Preferred:

Coordination at scale: Track record of managing dependencies, surfacing risks, and driving alignment across teams that do not naturally talk to each other.
Engineering fluency: Able to follow technical conversations, ask useful questions, and challenge feasibility claims constructively. More than passive listening.
Evidence orientation: Comfortable measuring delivery by outcome validation rather than velocity proxies. Able to hold the line on evidence gates.
AI-augmented working practice: Fluent with current GenAI assistants and agentic delivery tooling. Able to direct AI output for status, risk, and coordination tasks rather than only consume or produce it manually.
Specification literacy: Able to read and reason about charter, persona, intent, constitution, and blueprint artifacts and understand how a program is governed through them.
Communication: Writes clearly. Presents to senior stakeholders without over formatting. Tells the truth about status, including bad news, without varnish.

The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 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 $107,700 to $221,200. 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, individual and organizational performance.

About employer

More about this job

Skills

Leadership
Coaching
Workflow
Communication skills
Process improvement
Work independently
Attention to detail
Interpersonal skills
Meet deadlines
Agile
Budget management
Financial forecasting
Vendor management

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