As an Associate Director, Applied AI Engineering, you will set the engineering vision and technical direction for the firm's enterprise solutions-mapping business capabilities to the enterprise technology landscape and defining how GenAI and agentic capabilities are built directly into the products we deliver. Leading across teams and product groups, you will stay hands-on in your craft-shaping architecture, design, and code-while driving the standards and reference architectures that engineers build against. Your leadership will be pivotal in delivering tangible value across Deloitte's product and AI investments, aligning technical solutions with business and technology strategy, and advancing Applied AI engineering across the organization.
You will bring extensive engineering craftsmanship and deep expertise across software and data engineering, solution architecture, and AI/ML and GenAI, together with an exemplary track record of high-quality, outcome-focused delivery at scale. The ideal candidate is a role-model engineering leader who leads by doing-setting vision, elevating standards, developing engineers and emerging leaders, and building trusted relationships with stakeholders from engineering teams to executives.
Key Responsibilities:
Strategic Vision and Alignment: Craft and articulate a vision for Applied AI engineering across the firm's enterprise solutions-mapping business capabilities to the enterprise technology landscape and defining how GenAI and agentic capabilities are built directly into the products we deliver-in alignment with the Business Strategy and US Deloitte Technology strategy. Collaborate with diverse stakeholders across product, engineering, experience, delivery, security, and infrastructure at all organizational levels.
Advocacy and Technology Roadmap: Advocate for, develop, and communicate the integrated Applied AI engineering, architecture, and technology strategy and its implementation roadmap to engineering teams and business stakeholders. Ensure the organization is well-informed about objectives, KPIs, maturity, compliance, and progress. Promote a culture of reuse, quality, and speed-keeping an eye on leverage of existing assets and on the inference, token, and cloud cost of what we build, to maximize outcomes and minimize total cost.
Craft Mastery and Objectives Realization: Define, measure, and drive the achievement of KPIs and NFRs spanning system performance, scalability, security, reliability, and maintainability. Establish and evolve Applied AI engineering, architecture, and AI/ML/GenAI reference architectures, standards, and best practices-including spec- and context-driven development, evaluations, AI agent orchestration, and the AI and Agentic SSDLC that carries work from discovery to production to operations with full automation and quality checks through the SSDLC lifecycle. Remain hands-on with design, architecture, and code-contributing to team and product group velocity and staying engaged with engineers across the SSDLC-while reviewing code, driving tech-debt reduction, and experimenting with new technology.
Capability Evolution and Development: As a recognized engineering leader, mentor and develop engineers and emerging engineering leaders, coaching modern Applied AI engineering practices-full-stack and micro-services, cloud-native design, AI/ML/GenAI and agentic systems, data engineering, application-level infrastructure-as-code, and advanced deployment techniques (Blue-Green, Canary, A/B testing) that minimize downtime. Lead by example through thought leadership-showcasing experiments internally, speaking at conferences, publishing whitepapers or blogs, and leading R&D collaborations, including with academia. Cultivate a growth mindset and modern engineering behaviors across the organization.
Iterative Value Delivery: Embrace an iterative and incremental approach to Applied AI product engineering, favoring action and rapid learning over extensive upfront planning. Apply a leaning-forward approach and empirical methods to navigate complexity and uncertainty, ensuring each iteration delivers value and stays aligned with customer and business goals.
Customer-Centric Problem Solving: Maintain a relentless focus on solving the most critical challenges faced by customers and users, aligning technical solutions with business outcomes. Minimize unnecessary technical complexity and avoid overengineering-features and functionality that do not add value-and drive teams toward peak performance through continuous learning and collaborative execution.
Expert Proficiency and Continuous Improvement: Possess deep expertise in modern Applied AI engineering and architecture practices, with a keen ability to identify inefficiencies and opportunities for innovation across the product lifecycle. Continuously enhance the engineering operating model to be lean, adaptable, and responsive-guiding and transforming the organization to embrace lean principles and foster a culture of innovation.
Tech/Quality Risk Management: Establish and evolve reference architectures, coding standards, and engineering and quality benchmarks that ensure robust, secure, scalable, and reliable/resilient solutions. Ensure appropriate, responsible technology adoption-developing explainable, scalable, reliable, and secure AI and agentic products-and proactively identify technical risks, developing mitigation strategies through proactive problem-solving and contingency planning.
Influential Communication: Influence, persuade, and drive decision-making across the organization. Communicate effectively in both written and verbal forms, crafting clear, structured arguments and technical trade-offs supported by evidence.
Organizational Engagement and Collaboration: Engage stakeholders at all levels-from team members to middle management to executives-building collaborative, constructive relationships and co-creating momentum and value across multiple organizational levels.
The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
The successful candidate will possess:
Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
Qualifications
Required:
A bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor.
10+ years of full-stack software engineering experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, REST/SOAP/GraphQL, SSO/MFA, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit and integration testing frameworks.
7+ years of experience architecting and delivering enterprise solutions on modern technology stacks (e.g., API Gateways, Message Brokers, Queuing Services, Workflow Automation & Orchestration, ETL/ELT, Event Streaming, Real-Time Data Processing, Service Mesh) and cloud-native engineering, using FaaS, PaaS, and micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including leveraging their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).
5+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
2+ years of experience in establishing engineering standards, including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards.
Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to deliver high-quality products rapidly.
Ability to work in your local office at a minimum of 3 days per week.
Candidates must be located within a commutable distance to one of the select locations available for this role.
Ability to travel 10%, on average, based on the work you do and products you build.
Limited immigration sponsorship may be available.
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.
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 $130,900 to $268,700.
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Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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About the role
This is a Senior Level role in the Technology field (Data, analytics and AI) at Deloitte. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.
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Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
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The job is in Dallas, TX. Below is what the official statistics say about living and working there.
How Dallas compares. Among the 120 largest places in Texas, Dallas is #3 by population, #112 for homeownership (#1 = highest), #42 for remote work (#1 = most), #46 for college degrees (#1 = most). Its county, Dallas County, is #8 of 254 counties for average pay ($89,284).
The place in numbers
Dallas has 1,307,930 residents (ACS 2020–2024), about 4.3% of the population of Texas. It covers 340 square miles of land, which works out to roughly 3,850 people per square mile. The median age is 33.4, 6% younger than the state median (33.4 against 35.6).
Housing
The median gross rent is $1,472 a month (rent plus utilities), 5% above the state median ($1,472 against $1,403). Over a year that is 25.0% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $320,700, which is 4.5 times the median household income ($70,518). 42.4% of households own their home, 32% below the state average (42.4% against 62.6%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.
Work and pay
The Dallas-Fort Worth-Arlington, TX metropolitan area has 4,049,800 jobs in the BLS wage survey, and the median pay across all occupations is $51,440 a year, about the same as the national median ($51,440 against $50,980). The biggest occupation groups are office and administrative support (490,190 jobs, median $47,080); transportation and material moving (423,430 jobs, median $44,570); management (379,320 jobs, median $128,140). The area is most specialised in computer and mathematical (1.4 times) and management (1.3 times), where the share of workers is above the national share. The best-paying groups with at least 5,000 jobs are management ($128,140) and computer and mathematical ($121,440). In 2026M09 the unemployment rate of Dallas County was 4.2%. 68.6% of residents aged 16 and over are in the labour force. The city lies in Dallas County; its jobs, pay by industry and GDP are on the county page.
Getting around
Among workers, 66.6% drive alone, 2.1% use public transit, 2.1% walk, 15.8% work from home. 14.1% of workers commute 45 minutes or more, 17% below the state average (14.1% against 16.9%).
People and education
38.2% of adults aged 25 and over hold a bachelor's degree or higher, 13% above the state share (38.2% against 33.8%). 23.4% of residents were born outside the United States, 33% above the state share (23.4% against 17.6%). The poverty rate is 16.7%, 21% above the state rate (16.7% against 13.8%).
Climate
The warmest month is Aug, averaging 86°F (30.1°C), and the coolest is Jan at 44°F (6.4°C). About 921 mm (36 inches) of precipitation falls in a year; May is the wettest month (116 mm) and Jul the driest (55 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Nearby cities to compare
Closest cities in this guide: Mesquite (11 miles, similar rent); Garland (11 miles, rent 11% higher); Farmers Branch (11 miles, rent 27% higher); Irving (13 miles, rent 10% higher). Rent differences are against Dallas; use the Compare tab to put any two cities side by side.
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What is the Associate Director, Applied AI Engineering job at Deloitte?
A senior level role in technology (data, analytics and ai) listed 9 days ago. The full description is on this page and on The Muse.
Where is this job?
Dallas, TX.
How do I apply?
Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.
How much does it pay?
The listing does not publish pay, and we could not match the title to one official occupation.
What is the cost of living there?
Median rent in Dallas is $1,472 a month and median household income $70,518 (ACS 2020–2024).
How old is this listing?
It was posted on 2026-10-31 (9 days ago). Jobs older than 90 days are not shown.
Are there similar jobs?
Yes: browse data, analytics and ai jobs in Texas.
Sources and terms
Job data: The Muse public API (listing dated 2026-10-31). The job disappears from this site when it disappears from the source.
Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.
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