Applied

Applied Engineer Jobs

3 jobs found

17d ago

Applied AI Engineer II

Deloitte Jersey City, NJ

Jersey City, NJ

17d ago

$103k - $189k/yr Full time AI Applied

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Job Description

Join Deloitte for an on-site opportunity in Jersey City, NJ as an Applied AI Engineer II. This role offers a competitive annual salary ranging from USD 102,500 to 188,900 and the chance to shape high-visibility full-stack products with GenAI and agentic capabilities. You will collaborate across teams to deliver AI-infused solutions that create real value for customers and the business.

Responsibilities

Own and drive outcomes for customers and the business while considering the cost of achieving them. Design lean, high-quality engineering solutions that tackle complex problems, including responsibility for inference, token, and cloud costs.
Act as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Contribute to requirements analysis, component design, development, testing, integrations, and support.
Maintain accountability for code and design integrity, architectural fidelity, quality, data stewardship, and ongoing operations. Be hands-on, proactive, and continuously learn new approaches, languages, and frameworks. Produce technical specifications and scalable, maintainable code that meets quality KPIs.
Develop lean, customer-centric engineering solutions through rapid, inexpensive experiments. Engage with customers and product teams before, during, and after delivery to ensure solutions meet timing and needs.
Adopt an incremental and iterative delivery mindset, prioritizing action and evidence over extensive planning. Deliver lean, supportable solutions that navigate complexity and uncertainty.
Collaborate with cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to balance feasibility, viability, usability, and value, fostering innovation.
Demonstrate advanced technical proficiency in modern software engineering practices, including AI and Agentic SSDLC, delivering daily product deployments with full automation from discovery to production and operations, with quality checks throughout the SSDLC lifecycle.
Quickly acquire domain knowledge relevant to the business or product, translating business needs, architectures, and UX/UI designs into technical specifications and code. Be a reliable, quality-focused team member who helps reduce technical debt.
Exhibit strong communication and influence, articulating complex concepts clearly and supporting trade-offs with evidence to align technical solutions with business objectives.
Engage with product engineering teams at all levels and with customers as needed, fostering co-creation and shared momentum toward product goals while aligning diverse perspectives to feasible solutions.

Requirements

A bachelor's degree and at least 2 years of relevant experience
Ability to work independently and as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines and provide clear guidance to others

Technologies

Angular
React
NodeJS
Python
C#
.NET
Java
SQL
NoSQL
PyTorch
TensorFlow
LangChain
LangGraph
OpenAI
Anthropic
LangFuse
LangSmith
Azure
AWS
GCP
Azure OpenAI
AWS Bedrock
Vertex AI
Azure DevOps (ADO)
GitHub
SonarQube
MLflow

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26d ago

Applied AI Engineer II

Deloitte Atlanta, GA

Atlanta, GA

26d ago

$103k - $189k/yr Full time AI Applied

Apply Now

Job Description

Join Deloitte in Atlanta as an Applied AI Engineer II to build full stack products powered by GenAI and agentic capabilities. Collaborate across product management, experience, and delivery teams to take ideas from concept to production and deliver outcomes that matter for customers and the business. This onsite role offers a competitive salary range of USD 102,500 – 188,900 per year and includes a discretionary annual incentive program that recognizes impact.

Responsibilities

Outcome-Driven Accountability Own measurable customer and business outcomes and the cost of delivering them. Create engineering solutions to tackle complex problems with lean, high‑quality designs, and take responsibility for inference, tokens, and cloud spend.
Technical Leadership and Advocacy Serve as the technical champion for products, safeguarding code integrity and alignment with business and customer goals. Contribute across requirement analysis, component design, development, testing, integrations, and support.
Engineering Craftsmanship Maintain code‑design integrity, fidelity to architecture, quality, data stewardship, and ongoing operations. Be hands‑on and proactive, continuously learning new approaches, languages, and frameworks. Produce technical specifications and high‑quality, scalable code that meets quality KPIs, collaborating effectively with diverse teams.
Customer‑Centric Engineering Develop lean solutions through rapid, cost‑effective experimentation. 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 Favor action and evidence over extensive planning. Navigate complexity with a forward‑leaning approach to deliver lean, maintainable solutions.
Cross‑Functional Collaboration and Integration Work with empowered product management, experience, and delivery teams to balance feasibility, viability, usability, and value. Foster collaboration that enhances team synergy and innovation.
Advanced Technical Proficiency Apply modern software engineering practices, including AI and agentic SDLC, to deliver daily deployments with full automation from discovery to production to operations, with quality checks throughout the lifecycle. Model these techniques to improve solutioning and delivery, continually advancing full lifecycle product development.
Domain Expertise Quickly acquire domain knowledge relevant to the business or product and translate business needs, architectures, and UX/UI designs into technical specifications and code. Be a reliable, quality‑focused team member who supports teammates and helps reduce tech debt.
Effective Communication and Influence Articulate complex technical concepts clearly and persuasively. Build evidence‑based narratives that align technical solutions with business objectives and inspire teammates and product teams.
Engagement and Collaborative Co‑Creation Engage with product engineering teams at all levels and with customers as needed. Build constructive relationships that foster co‑creation and momentum toward product goals, aligning diverse perspectives to feasible solutions.

Requirements

Ability to work independently and collaboratively within a team
Strong written and verbal communication skills
Meticulous attention to detail and quality of work
Ability to build and sustain professional relationships
Experience leading projects or workstreams
Ability to manage and prioritize multiple tasks in a fast paced environment
Strong interpersonal skills and professional demeanor
Proven ability to meet deadlines
Ability to provide clear guidance to others
Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline; practical experience highly valued
3+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks
2+ years of experience building AI/ML and agentic applications, with hands‑on GenAI experience across LLM integrations (OpenAI, Anthropic, or open‑source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration
2+ years of cloud‑native engineering using FaaS, PaaS, or microservices on Azure, AWS, or GCP, including AI/ML services (Azure OpenAI, AWS Bedrock, Vertex AI) and infrastructure‑as‑code with FinOps accountability
Prior software engineering experience with business context diagrams, sequence/activity/state/entity relationships, OOP/OOD, data structures, algorithms, and AI‑augmented spec‑driven development
Experience with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g., LangFuse, LangSmith) to deliver high‑quality products rapidly
Willingness to travel approximately 10% depending on project needs
Limited immigration sponsorship may be available

Technologies

Angular, React, NodeJS, Python, C#, .NET, Java
SQL/NoSQL, PyTorch, TensorFlow
LangChain, LangGraph
OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI
Azure, GCP, AWS
GitHub, ADO, SonarQube, MLflow
LangFuse, LangSmith

Benefits

Discretionary annual incentive program

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30d ago

Applied AI Engineer II - Encore Program

Deloitte New York, NY

New York, NY

30d ago Closed

Full time AI Applied Encore

This position is no longer accepting applications (closed Aug 19, 2026).

Job Description

Applied AI Engineer II for Deloitte Encore Program, focusing on hands-on full-stack development and integrating GenAI and agentic capabilities into products to deliver customer value.

Responsibilities

Outcome-Driven Accountability: drive accountability for customer and business outcomes, including cost considerations; design lean, high-quality solutions and own inference, token, and cloud costs.
Technical Leadership and Advocacy: act as the technical advocate for products, ensuring code integrity and alignment with business and customer goals; contribute to requirement analysis, component design, development, testing, integrations, and support.
Engineering Craftsmanship: own code-design integrity and implementation fidelity to architecture and tech stack; maintain quality, data, and operations; stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks; create technical specifications and deliver scalable, maintainable code meeting quality KPIs; collaborate across diverse teams.
Customer-Centric Engineering: develop lean solutions through rapid, low-cost experimentation; 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: prioritize action and evidence over extensive upfront planning; navigate complexity with a leaning-forward approach to deliver lean, supportable solutions.
Cross-Functional Collaboration and Integration: collaborate with product management, experience, and delivery teams; integrate diverse perspectives to balance feasibility, viability, usability, and value; foster a collaborative environment that enhances team synergy and innovation.
Advanced Technical Proficiency: demonstrate mastery of modern software engineering practices, including AI and Agentic SSDLC; deliver daily product deployments with full automation from discovery to production with all quality checks through the SSDLC lifecycle; model best practices to optimize solutioning and product delivery; focus on continuous improvement of the full lifecycle.
Domain Expertise: rapidly acquire domain knowledge relevant to the business or product; translate business and user needs, architectures, and UX/UI designs into technical specifications and code; be a reliable, flexible teammate focused on quality and tech debt payoff.
Effective Communication and Influence: articulate complex technical concepts clearly; influence teammates and product teams with evidence-based trade-offs; create narratives that align technical solutions with business objectives.
Engagement and Collaborative Co-Creation: collaborate with product engineering teams at all levels, including customers as needed; build constructive relationships that foster co-creation and momentum toward product goals; align diverse perspectives to drive feasible solutions.

Requirements

Ability to work independently and 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
Ability to travel 10 percent on average, based on client needs
Limited immigration sponsorship may be available

Technologies

Angular, React, NodeJS, Python, C#, .NET, Java
SQL, NoSQL
PyTorch, TensorFlow
LangChain, LangGraph, OpenAI, Anthropic, LangFuse, LangSmith
Azure, AWS, GCP
Azure OpenAI, AWS Bedrock, Vertex AI
DevSecOps, SRE
ADO, GitHub, SonarQube, MLflow

Benefits

You may also be eligible to participate in a discretionary annual incentive program, subject to program rules and individual/organizational performance.

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Applied Engineer Jobs

Applied AI Engineer II

Applied AI Engineer II

Applied AI Engineer II - Encore Program

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