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2mo ago

Applied AI Engineer I

Deloitte Chicago, IL

Chicago, IL

2mo ago Closed

$84k - $155k/yr Full time Agentic Ai AI Artificial Intelligence

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

Deloitte's onsite Chicago, IL Applied AI Engineer I role offers a salary range of USD 84,300 to 155,400 per year and focuses on embedding GenAI and agentic capabilities into full-stack products.

Responsibilities

Outcome-Driven Accountability: Develop engineering solutions defined by meaningful customer and business outcomes while managing costs, owning inference, token usage, and cloud expenses; design lean, high-quality implementations.
Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals; participate in requirements analysis, component design, development, testing, integrations, and support.
Engineering Craftsmanship: Maintain code-design integrity and adherence to architecture and tech stack; ensure quality, data integrity, and ongoing maintenance; be hands-on, self-driven, and continually learn new approaches and frameworks; create technical specifications and deliver scalable, maintainable code meeting quality KPIs.
Customer-Centric Engineering: Build lean solutions through rapid, inexpensive experiments to address customer needs; engage with customers and product teams before, during, and after delivery to ensure timely, right-fit solutions.
Incremental and Iterative Delivery: Favor action and evidence over extensive planning; navigate complexity with a lean-forward approach to deliver maintainable and right-sized 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 innovation.
Advanced Technical Proficiency: Develop expertise in modern software engineering practices, including AI and Agentic SSDLC, enabling daily deployments with full automation from discovery to production and operations, with all quality checks through the SSDLC lifecycle.
Domain Expertise: Quickly acquire domain knowledge relevant to the business or product; translate business and user needs into technical specifications and code; be a flexible, quality-focused team member who supports teammates and reduces tech debt.
Effective Communication and Influence: Communicate complex technical concepts clearly and persuasively; influence teammates and product teams with evidence-based trade-offs and coherent narratives that align with business objectives.
Engagement and Collaborative Co-Creation: Collaborate with product engineering teams at all levels and with customers as needed; build constructive relationships and foster a culture of co-creation to reach product goals.

Requirements

Bachelor's degree and at least 1 year 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 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

Technologies

Angular
React
NodeJS
Python
C#
.NET
Java
SQL/NoSQL
PyTorch
TensorFlow
LangChain
LangGraph
MLflow
LangFuse
LangSmith
OpenAI
Anthropic
Vertex AI
Azure OpenAI
AWS Bedrock
Azure
AWS
GCP
RAG pipelines
Vector databases
Prompt engineering
Multi-agent orchestration tools

Benefits

Discretionary annual incentive program

The Team

US Deloitte Technology Product Engineering is the internal development unit focused on modernizing software and product delivery, delivering scalable and cost-effective solutions that drive value and outcomes. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations, empowering Deloitte to achieve measurable results and sustained success.

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2mo ago

AI Engineer, Manager - Tax Transformation

Deloitte Philadelphia, PA

Philadelphia, PA

2mo ago Closed

$128k - $262k/yr Full time Backend Developer Manager Artificial Intelligence

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

Benefits

Salary: USD 128,025 - 261,625 per year
Discretionary annual incentive program

Location

Philadelphia, PA with a hybrid work arrangement

The Team

The team you would join is dedicated to the design, development, and deployment of innovative enterprise technology, tools, and standard processes that support the delivery of tax services. It aims to provide comprehensive, value-added, and efficient tax services to clients. This dynamic group includes professionals from tax technical, technology development, change management, and project management disciplines, collaborating to deliver impactful solutions in a client-focused environment.

Responsibilities

Define and enforce best practices and coding standards across the project
Conduct thorough code reviews to ensure guidelines are followed and code quality remains high
Work independently as well as in close collaboration with team members
Provide clear instructions to the team and help manage day-to-day operational flow
Maintain regular communication with the client
Design, develop, and maintain robust, scalable Python applications
Write clean, maintainable, and efficient code following industry standards
Optimize code for performance and scalability with efficient data handling
Collaborate with cross-functional teams to deliver high-quality software solutions
Identify and resolve technical issues to ensure reliability and performance
Create and maintain comprehensive documentation for code, processes, and workflows
Provide guidance and mentorship to junior developers, fostering a productive team environment

Requirements

Hybrid work model requiring US Tax professionals to co-locate in person 2 to 3 days per week
Bachelor's degree in computer science, engineering, or a relevant discipline
5+ years of development experience with demonstrated ability designing, developing, and maintaining robust Python applications
Hands-on experience in web development with FastAPI, including Pydantic for data validation
Strong skills in asynchronous and parallel programming with practical asyncio experience
Experience working in Agile environments and applying core design patterns
Proficiency in .NET Core, ASP.NET Core Web API, and databases (SQL/NoSQL, Entity Framework 6+)
Ability to travel up to 10% on average, depending on client work
Limited immigration sponsorship may be available
Licensed CPA in state of practice or eligible to sit for the CPA, if applicable
Licensed Attorney
Enrolled Agent
AWS Certified Solutions Architect
CRISC
CISSP
Certified SAFe Advanced Scrum Master
Certified SAFe Agile Software Engineer
Certified SAFe Agilist
Certified SAFe Architect
Certified SAFe DevOps Practitioner
Certified SAFe Scrum Master
Certified Scrum Developer (CSD)
CSSLP and CSSLP (ISC)2
Microsoft Azure

Technologies

Python, FastAPI, Pydantic, asyncio
.NET Core, ASP.NET Core Web API
SQL, NoSQL, Entity Framework 6+
AWS, Microsoft Azure
Angular, MongoDB
NPM
Azure DevOps Build/Release
LangGraph

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2mo ago

Senior AI Engineer

Deloitte Cincinnati, OH

Cincinnati, OH

2mo ago Closed

$128k - $253k/yr Full time Senior Apache Airflow Artificial Intelligence

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

Join Deloitte through SFL Scientific as a Senior AI Engineer in Cincinnati, onsite. This role focuses on designing, building, and deploying scalable AI and GenAI infrastructure and data architectures, collaborating with data scientists, machine learning engineers, and industry experts across client engagements. Expect a clear path for professional growth, mentorship, and a culture that emphasizes rigorous engineering practices, modern data platforms, and responsible AI. The position is onsite in Cincinnati, with a salary range of USD 128,000 to 252,500 per year.

Responsibilities

Collaborate with clients to architect, build, and deploy new systems that enable machine learning and automation initiatives.
Apply advanced skills in modern data architecture, data engineering for science, data transformation, and management of structured and unstructured data across cloud and on premise environments.
Design and guide the development of scalable, high performance data architecture solutions that support business needs and AI/GenAI use cases.
Enhance data architectures and pipelines; define schemas across graph, SQL, and NoSQL databases to enable scalable algorithms aligned with agile priorities.
Contribute to architecture and deployment discussions to ensure solutions are scalable, secure, and highly available in cloud or on prem.
Implement engineering best practices in automation, high performance computing, and AI/GenAI infrastructure design.
Define and drive technology proof of concepts to validate new data and cloud solutions.
Demonstrate thought leadership and practical execution in advancing modern data architecture and technology modernization.
Mentor and guide junior teammates in engineering best practices and professional growth.

Requirements

Bachelor's degree in a STEM field or equivalent experience.
4+ years in data engineering, data science, software engineering, or MLOps with a focus on deploying AI and machine learning.
4+ years designing cloud solutions and supporting production projects with hands-on work in AWS (or Azure, GCP equivalents).
4+ years programming with Linux shell/CLI, Python, SQL, PowerShell.
2+ years leading technical delivery teams on complex projects.
2+ years in DevOps and CI/CD tools such as Puppet, Ansible, Chef, Airflow, Terraform, Jenkins.
2+ years building databases and ETL/ELT pipelines across relational, NoSQL, and graph databases like Neo4j.
2+ years deploying and optimizing Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, and related technologies.
Located within commuting distance to a Deloitte consulting office and able to travel about 10% as needed.
Limited immigration sponsorship may be available.

Technologies

Python
SQL
Linux Shell/CLI
PowerShell
Puppet
Ansible
Chef
Airflow
Terraform
Jenkins
Kubernetes
Docker
NVIDIA TensorRT
Triton
RAPIDs
Kubeflow
MLflow
Kafka
Graph databases
Neo4j
NoSQL
AWS
Azure
GCP
CUDA
OpenCL

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2mo ago

Application Security Engineer - AI Trainer

DataAnnotation Kirkland, WA 🇺🇸 Remote

Kirkland, WA

2mo ago Closed

$50 - $100/hr Contract Ai Training Application Security Artificial Intelligence

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

DataAnnotation seeks an Application Security Engineer to serve as an AI Trainer. This contract, remote-friendly role focuses on evaluating AI-generated cybersecurity content, solving security challenges, and delivering feedback that shapes how AI systems reason about threats and defenses. The position offers flexible scheduling and can be pursued alongside another role or as the primary focus. Location is Kirkland, Washington, with remote work options, and compensation ranges from USD 50 to 100 per hour.

Responsibilities

Assess AI-generated cybersecurity content, including threat analyses, vulnerability assessments, and offensive security techniques, for real-world accuracy and validity.
Design and solve security-focused technical problems used to train AI systems.
Produce clear technical explanations and write security-relevant code.
Provide feedback that shapes the next generation of AI security models.

Requirements

Minimum 2 years of hands-on cybersecurity experience in roles such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or related fields, including government or military cyber operations.
Some coding experience and ability to navigate and patch a codebase.
Fluency in English with strong writing skills (native or bilingual level).
Bachelor's degree preferred.
Cybersecurity certifications are a plus (e.g., OSCP, CRTO, GREM, GCFA, CEH, and similar).

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and hours, using your own computer from home.
Competitive pay: hourly rate of $50 to $100 USD, with opportunities for higher bonus rates on certain projects.
Impact: contribute to shaping the future of AI technologies built for cybersecurity.

Note

Payment is processed via PayPal. This opportunity is open to residents in the US, Canada, UK, Ireland, Australia, and New Zealand.

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2mo ago

Managed Services - Data Engineer - Experienced Associate

PRICE WATERHOUSE COOPERS Charlotte, NC

Charlotte, NC

2mo ago Closed

$63k - $140k/yr Full time Analytics Business Intelligence Data

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

The Managed Services Data Engineer - Experienced Associate role supports client engagements within PwC's Data & Analytics practice by designing data driven solutions, building robust data pipelines, and delivering actionable analytics. The position emphasizes collaboration, ongoing learning, and contributing to client work while expanding technical capabilities in a dynamic environment.

Job Details

Location: Charlotte, NC (onsite)

Salary: USD 63,000 - 140,000 per year

Minimum Experience: 1 year

Education: Bachelor's degree

Responsibilities

Develop and implement data driven solutions to optimize performance and competitive positioning, covering data engineering and ETL tasks.
Apply advanced analytics techniques to provide strategic insights and support data informed decision making, including SQL optimization.
Build and maintain data pipelines to enable efficient data collection and analysis, utilizing DataStage.
Create reports and dashboards with business intelligence tools such as Oracle BI and QlikView, drawing on sources like DB2 and SQL Server.
Collaborate with team members to collect and analyze data from multiple sources to identify patterns and trends, employing star schemas and dimension modeling.
Design and maintain robust database structures through data architecture development, including snowflake models.
Participate in continuous process improvement to enhance data quality and integrity.
Support client engagements by listening to diverse perspectives in regulated environments and responding accordingly.
Contribute to the development of business cases and market development strategies through data analysis and interpretation.
Adapt to a fast paced environment and take ownership of tasks to consistently deliver quality work, including job scheduling and UNIX tasks.

Requirements

Bachelor's degree
At least 1 year of experience

Technologies

DataStage
Oracle Business Intelligence
QlikView
DB2
SQL Server
SQL
Python
Java
Spotfire
Oracle BI
Snowflake
UNIX

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

What Sets You Apart

Preference for at least one of the following fields of study: Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Operations Management/Research; Statistics; Engineering
Proficiency in Python and Java programming languages
Experience with data visualization tools such as QlikView and Spotfire
Developing business intelligence solutions using Oracle BI
Engaging in data architecture development and management
Applying macroeconomic and microeconomic analysis skills
Strong capabilities in data analysis and interpretation

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2mo ago

Sr Databricks Data Engineer

Deloitte Dallas, TX

Dallas, TX

2mo ago Closed

$116k - $229k/yr Full time Apache Spark Azure Big Data

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

Deloitte's AI and Data practice is seeking a Senior Databricks Data Engineer to design, build, and optimize cloud-based data solutions on Databricks, enabling analytics and AI initiatives across enterprise data platforms.

Location

Dallas, TX onsite

Salary

USD 116,200 - 229,100 per year

Responsibilities

Establish and promote best practices for data architecture, integration, and modeling across projects.
Own the data pipelines and architectures, guiding design, development, and ongoing maintenance to support large-scale enterprise data needs.
Drive data quality, operational efficiency, and scalable processes through targeted initiatives.
Lead evaluation, piloting, and integration of new big data and analytics technologies to keep the organization at the forefront.
Mentor and develop teams of data engineers and architects, supporting technical growth and project delivery success.
Design and implement governance, security, and compliance strategies aligned with modern cloud data ecosystems.
Translate complex technical concepts and business value for executives, business leads, and technology teams.
Oversee DevOps and automation efforts, implementing CI/CD practices using tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell for streamlined deployments.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum five years of hands-on data engineering experience focused on Databricks across AWS, Azure, or GCP.
Proficiency with lakehouse architectures, Apache Spark, Delta Lake, cloud-native storage and databases, and distributed compute platforms.
Experience with data warehousing concepts, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loading, and metadata-driven ingestion and data quality frameworks using PySpark.
At least one year leading complex, cross-functional data initiatives and technical teams, with familiarity across Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and optimization of data pipelines, code, and compute resources.
Willingness to travel approximately 50 percent depending on client engagements and sector.
Limited immigration sponsorship may be available.

Technologies

Databricks platform and ecosystem
Cloud providers: AWS, Microsoft Azure, Google Cloud Platform
Delta Lake, Apache Spark, PySpark
Delta Live Tables, Autoloader, Structured Streaming
Databricks Workflows, Apache Airflow, Unity Catalog
Azure DevOps, AWS Code Pipeline, Jenkins, TFS, PowerShell
Databricks Lakeflow

Benefits

Discretionary annual incentive program based on performance and program rules, with awards contingent on individual and organizational results.

The Team

Deloitte Core AI and Data practice helps clients modernize data platforms, strengthen enterprise data foundations, and scale analytics and AI capabilities across the business. The team designs, engineers, and deploys cloud-based data solutions to improve decision making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to address data modernization challenges.

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2mo ago

Databricks Data Engineer II

Deloitte Boston, MA

Boston, MA

2mo ago Closed

$87k - $171k/yr Full time Big Data Cloud Platform Data Analytics

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

At Deloitte’s Boston office, this Databricks data engineering role sits at the intersection of cloud data platforms and advanced analytics. The position centers on designing, building, and optimizing data pipelines and platforms to enable analytics and AI use cases, working with business and technology teams to modernize environments and drive data‑driven decision making. You’ll join Deloitte’s Core AI & Data practice, helping clients strengthen data foundations and scale analytics and AI capabilities across the organization.

Position Details

Location: Boston, MA (onsite)
Salary: USD 86,700 - 170,900 per year
Minimum Experience: 3 years
Education: Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics

Responsibilities

Architect, implement, and sustain data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL
Support modernization of enterprise data platforms by applying cloud-based ingestion, transformation, and storage patterns
Build and run both batch and streaming workflows to support reporting, analytics, and AI use cases
Apply data architecture, integration, and modeling practices to enhance data quality, scalability, and platform performance
Collaborate with client teams and Deloitte colleagues to troubleshoot issues, implement enhancements, and deliver large-scale data transformation programs

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
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Strong ability to manage multiple tasks in a fast-paced environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Education: Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
Experience: 3+ years in data engineering, ETL development, or data platform engineering
Databricks experience: 2+ years building data pipelines using Apache Spark, Python, and SQL
Cloud experience: Experience with at least one cloud platform (AWS, Azure, or GCP)
Travel: Ability to travel approximately 50% depending on client engagements
Sponsorship: Limited immigration sponsorship may be available