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2d ago

Applied AI Engineer II - Encore Program

Deloitte Philadelphia, PA

Philadelphia, PA

2d ago

Full time Artificial Intelligence Azure Openai Data Processing

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Job Description

The Deloitte Encore Program seeks an Applied AI Engineer II onsite in Philadelphia, PA. This role focuses on delivering high-visibility full-stack products that leverage GenAI and agentic capabilities to achieve customer-centered outcomes. A bachelor’s degree and at least two years of relevant experience are required.

Responsibilities

Own accountability for customer and business outcomes and for the cost of delivery. Design lean, high-quality solutions to complex problems and actively manage inference, token usage, and cloud expenses.
Act as the technical champion for products, preserving code integrity and alignment with business and customer goals. Contribute across requirements, design, development, testing, integrations, and support.
Uphold engineering craftsmanship by ensuring design integrity, faithful implementation to architecture and stack, data quality, and ongoing maintainability. Be hands-on, proactive, and committed to learning new approaches and frameworks; produce technical specifications and high-quality, scalable code that meets quality KPIs. Collaborate effectively with diverse teams.
Develop lean, customer-focused solutions through rapid, economical experimentation. Engage with customers and product teams throughout delivery to ensure the right solution is delivered at the right time.
Adopt an incremental delivery mindset, prioritizing action and evidence over extensive planning and navigating complexity with a forward-leaning approach to produce lean, maintainable solutions.
Collaborate with cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to balance feasibility, viability, usability, and value, fostering a culture of collaboration and innovation.
Demonstrate advanced technical proficiency in modern software engineering, including AI and agentic lifecycle practices to enable frequent deployments with end-to-end automation and comprehensive quality checks. Model and optimize solutioning and product delivery across the full lifecycle with a focus on continuous improvement.
Acquire domain knowledge rapidly and translate business needs, architectures, and UX/UI designs into technical specifications and code. Be a reliable, adaptable team member focused on quality and debt payoff.
Communicate complex technical concepts clearly and influence teammates and product teams with evidence-based trade-offs. Craft narratives that align technical solutions with business objectives.
Engage with product engineering teams at multiple levels, including customers when needed. Build constructive relationships that support co-creation and shared momentum toward product goals, aligning diverse perspectives to reach feasible solutions.

Requirements

Bachelor's degree in computer science, software engineering, data science, machine learning, or a related discipline; practical experience is the primary differentiator.
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 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 cloud-native engineering using FaaS, PaaS, or micro-services on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus infrastructure-as-code and FinOps accountability.
Experience with software engineering fundamentals including Business Context Diagrams, sequence/activity/state/entity relationship and data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentation, plus AI-augmented spec-driven development.
Experience with methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g., LangFuse, LangSmith, or similar multi-agent orchestration tools) to deliver high-quality products rapidly.
Ability to travel approximately 10 percent, depending on client engagements.
Limited immigration sponsorship may be available.

Technologies

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

The Team

US Deloitte Technology Product Engineering modernizes software and product delivery through a scalable, cost-conscious model that emphasizes value and outcomes. As Deloitte's primary internal development arm, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations, driving measurable results and contributing to Deloitte's overall success.

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1mo ago

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

CVS Health Dover, DE

Dover, DE

1mo ago Closed

$83k - $222k/yr Full time Senior Ai Workflows Artificial Intelligence

This position is no longer accepting applications (closed Jul 4, 2026).

Job Description

Benefits and workplace culture

CVS Health offers a collaborative, data driven environment where senior engineers build GenAI and AI powered capabilities that drive real business outcomes. This on site, Dover, Delaware role partners with business stakeholders and senior technical leaders within CVS Health's Solutions Engineering and Infrastructure AI/ML capability to evaluate, design, implement, and scale AI solutions. The team emphasizes responsible AI practices, practical design, and production readiness to deliver customer focused results.

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources, based on eligibility

Location: Dover, DE onsite. Hours: 40 per week. Time type: Full time. Pay range: USD 83,430 - 222,480 per year.

Responsibilities

Develop and deploy AI powered services and features that connect enterprise data and systems with large language models and machine learning models.
Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.
Deliver features using strong engineering practices including test automation, code review, CI/CD, and readiness for production.
Design and optimize retrieval augmented generation pipelines (retrieval, ranking, grounding) and implement prompt patterns to improve reliability and user experience.
Contribute to evaluation suites and regression tests to maintain quality and safety over time.
Implement guardrails and security controls such as input/output validation, policy filtering, and data protection patterns under guidance from senior engineers.
Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post incident improvements.
Support performance and cost optimization efforts, including latency, throughput, caching, and model selection.
Adhere to and reinforce platform standards for deployment, versioning, monitoring, and documentation.
Collaborate with product, design, security, and platform teams to refine requirements and deliver customer focused outcomes.
Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.
Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.

Requirements

5+ years of software engineering experience delivering production systems, including modern APIs and application development.
3+ years applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.
3+ years delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.

Technologies

Kubernetes
LLMs
RAG pipelines
CI/CD

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Applied AI Engineer II - Encore Program

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

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