As an Applied AI Engineer III, you will actively engage in your engineering craft, taking a hands-on approach to building and enhancing high-visibility, full-stack products that serve the business and its users. Your expertise will be pivotal in delighting customers and users, while driving tangible value across Deloitte's product and AI investments. You will leverage your extensive engineering craftsmanship across full-stack software engineering and modern frameworks-together with applied AI fluency that lets you build GenAI and agentic capabilities directly into the products you deliver-consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, build, and ship products end to end, from concept through production.
Key Responsibilities:
Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes-and for the cost of achieving them. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations, and owning the inference, token, and cloud cost of what you build.
Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, testing, integrations, and support.
Engineering Craftsmanship: Maintain accountability for code-design integrity, implementation fidelity to architecture and tech stack, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
Advanced Technical Proficiency: Possess expertise in modern software engineering practices and principles, including AI and Agentic SSDLC to deliver daily product deployments using full automation from discovery to production to operations with all quality checks through SSDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning.
Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.
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.
5+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.
3+ 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.
3+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including 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).
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 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
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 $102,500 - $210,600.
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.
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Recruiting tips
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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.
We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Does the pay work here? (estimate)
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.
How to prepare and behave
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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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Places within 50 miles (straight line) of Dallas, TX that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
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What is the Applied AI Software Engineer III job at Deloitte?
A senior level role in technology (data, analytics and ai) listed 16 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 2026-10-24 (16 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 2026-10-24). 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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