Sr. AI Full Stack Developer
Deloitte · Dallas, TX
- On site
- Full-time
- $150,000 / year
- Dallas, TX
Job highlights
- Lead AI development for global programs.
- Design and build GenAI copilots.
- Utilize Google Cloud Vertex AI.
- Establish engineering standards.
- Deliver client engagement workstreams.
About the role
About the Role
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior AI Full Stack Developer - Project Delivery Specialist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
Work You'll Do/Responsibilities
- Work as a Senior AI Developer on a large-scale consent order and global expansion program, building AI and automation solutions to support remediation, control enhancement, and process standardization.
- Develop intelligent workflows, analytics capabilities, and scalable data solutions to improve monitoring, decision-making, and reporting.
- Lead architecture and solution design for a GenAI copilot supporting Risk Analysts, from discovery through production rollout.
- Elicit and document business/functional requirements, define NFRs (security, latency, availability), and align with stakeholders.
- Define target-state architecture on Vertex AI, including model strategy (Gemini/Claude), grounding/data access, and evaluation approach.
- Design business process optimization workflows (intake → triage → analysis → recommendations → approvals) and identify automation opportunities.
- Establish engineering standards: code review practices, reference implementations, API patterns, logging/monitoring, testing, and documentation.
- Deliver experimentation capabilities: integrate feature flags, run A/B tests, analyze outcomes, and iterate safely.
- Engineer for scale: address consistency issues, race conditions, concurrency controls, and distributed transaction alternatives (sagas/outbox).
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and/or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.
The Team
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.
Qualifications
Required
- 7+ years of experience in solution architecture / end-to-end solutioning, including complex enterprise integrations.
- 7+ years of experience AI/Gen AI experience.
- Proven experience translating business + functional requirements into scalable, secure architectures and delivery plans.
- Hands-on AI/GenAI architecture experience, including LLM selection, prompt/agent patterns, evaluation, and guardrails.
- Strong working knowledge of Google Cloud Vertex AI (model hosting/grounding/evals, pipelines, monitoring).
- Experience designing solutions using Gemini and Claude 4.5 (comparative fit, safety, cost/performance trade-offs).
- Demonstrated leadership in code reviews, engineering standards, and reusable patterns across teams.
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
- Limited immigration sponsorship may be available.
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Preferred
- Proven ability to communicate complex technical concepts clearly and effectively.
- Analytical ability to manage multiple projects and prioritize tasks into manageable work products.
- Can operate independently or with minimum supervision.
- Excellent Written and Communication Skills.
- Ability to deliver technical demonstrations.
Key skills/competency
- AI Development
- Full Stack Development
- Solution Architecture
- GenAI Copilot Design
- Google Cloud Vertex AI
- Gemini & Claude 4.5
- Business Process Optimization
- Engineering Standards
- Scalable Data Solutions
- Client Engagement Leadership
Skills & topics
- Senior AI Full Stack Developer
- AI Development
- Full Stack Development
- Solution Architecture
- GenAI
- Generative AI
- LLM
- Google Cloud
- Vertex AI
- Gemini
- Claude
- Prompt Engineering
- Data Solutions
- Automation
- Engineering Standards
- Client Delivery
- Project Delivery Model
- Deloitte
How to get hired
- Customize your resume: Highlight your 7+ years in AI/GenAI and solution architecture, tailoring it to Deloitte's Project Delivery Model needs.
- Showcase Google Cloud Vertex AI expertise: Emphasize hands-on experience with LLM selection, prompt engineering, and Google Cloud tools.
- Demonstrate leadership: Provide examples of leading code reviews, establishing engineering standards, and managing client workstreams.
- Prepare for technical and behavioral questions: Be ready to discuss your experience with Gemini, Claude, and complex enterprise integrations.
- Understand the Project Delivery Model: Research Deloitte's PDM and be prepared to discuss your ability to work onsite long-term.
Technical preparation
Master Vertex AI capabilities and LLM integration.,Practice designing scalable AI architectures.,Review code review and engineering best practices.,Prepare to discuss Gemini/Claude implementation details.
Behavioral questions
Discuss leading AI solution design.,Explain complex technical concepts clearly.,Describe how you establish engineering standards.,Share experience managing client workstreams.
Frequently asked questions
- What is Deloitte's Project Delivery Model for a Senior AI Full Stack Developer?
- Deloitte's Project Delivery Model (PDM) is designed for long-term, onsite client service delivery. For a Senior AI Full Stack Developer, this means working collaboratively on impactful projects within a client's environment, focusing on AI and automation solutions, without the extensive travel often associated with consulting.
- What specific AI and GenAI experience is Deloitte looking for in this role?
- Deloitte seeks a Senior AI Full Stack Developer with 7+ years of AI/GenAI experience. This includes hands-on architecture for LLMs (like Gemini and Claude 4.5), prompt/agent patterns, model evaluation, guardrails, and defining target-state architectures on platforms like Google Cloud Vertex AI.
- What are the key responsibilities for a Senior AI Full Stack Developer at Deloitte?
- Key responsibilities include leading AI and automation solution development for large-scale programs, designing GenAI copilots, defining architectures on Vertex AI, establishing engineering standards, optimizing business processes, and leading client engagement workstreams focused on improvement and transformation.
- What technical skills are most important for this Senior AI Full Stack Developer position?
- Crucial technical skills include extensive experience in solution architecture, end-to-end solutioning, AI/GenAI architecture (LLM selection, prompt engineering, evaluation), strong knowledge of Google Cloud Vertex AI, and experience with models like Gemini and Claude 4.5. Full-stack development capabilities are also essential.
- Does Deloitte offer immigration sponsorship for the Senior AI Full Stack Developer role?
- The job description states that 'Limited immigration sponsorship may be available.' This suggests that while sponsorship is not guaranteed, there might be possibilities for candidates who require it, though it's advisable to clarify during the application process.
- What is the expected travel commitment for this Senior AI Full Stack Developer role?
- This role operates under Deloitte's Project Delivery Model, which is tailored for long-term, onsite client service. While the role emphasizes reduced travel compared to traditional consulting, the description notes an 'Ability to travel 10%, on average,' based on client and industry needs.
- How can I best tailor my resume for the Senior AI Full Stack Developer role at Deloitte?