Jobs in the United States

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Added 14 mins ago
Engineer III- Technology
Edward Jones
Tempe, AZ
Contribute to the adoption and integration of AI-enabled capabilities, automation, and data-driven solutions where appropriate
Added 14 mins ago
EG
Dev Lead
Eliassen Group
Phoenix, AZ
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 1 hour ago
Workforce Analytics Manager/139287/Jackson
KPMG LLP
Jackson, MS
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Jackson, MS
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 1 hour ago
ConvergeProsperity - Product Forward Deployed Engineer, BankingSuite (Manager) - Products & Platforms
Deloitte
Boston, MA
Produce high-quality technical documentation, runbooks, and integration guides
Added 1 hour ago
Senior Full Stack Robotics Engineer - Java/C++/TypeScript
Kelly Services
Boston, MA
Strong understanding of software architecture, APIs, and system integration
Added 1 hour ago
Software Engineer III - Full-stack Developer with Anthropic Experience
Deloitte
Boston, MA
Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
Added 1 hour ago
Lead Architect with Anthropic Experience
Deloitte
Boston, MA
Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services including containers…
Added 1 hour ago
Banking Product Forward Deployed Engineer - Products & Platforms
Deloitte
Boston, MA
Produce high-quality technical documentation, runbooks, and integration guides
Added 1 hour ago
Lead Product Forward Deployed Engineer (pFDE) - Products & Platforms
Deloitte
Boston, MA
Produce high-quality technical documentation, runbooks, and integration guides
Added 1 hour ago
CTO, Anthropic Practice
EPAM Systems
Boston, MA
Enterprise architecture breadth: cloud (AWS, Azure, Google Cloud), APIs and integration, data platforms, identity and security, and the enterprise systems agents must work with (ERP, CRM,…
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Boston, MA
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 2 hours ago
EG
Dev Lead
Eliassen Group
Lincoln, NE
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 2 hours ago
EG
Dev Lead
Eliassen Group
Honolulu, HI
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 2 hours ago
EG
Dev Lead
Eliassen Group
Cheyenne, WY
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 2 hours ago
EG
Dev Lead
Eliassen Group
Concord, NH
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 3 hours ago
Lead Software Engineer
Chicago, IL · Peoria, IL · Irving, TX
Software Integration Engineering: Knowledge of software integration processes and functions; ability to design, develop and maintain interfaces and linkage to alternative platforms and…
Added 4 hours ago
Senior Software Engineer (.NET/Python)
CVS Health
Remote, United States
Relevant industry certifications (Microsoft Certified: Azure Developer Associate, AWS Certified Developer, or equivalent) are a plus but not required
Added 4 hours ago
Software Engineer (.NET/Python)
CVS Health
Remote, United States
Develop and maintain C#/.NET services hosted on IIS and Azure, supporting patient-facing and clinical-facing applications including scheduling, kiosk, care management, and data exchange
Added 4 hours ago
EG
Dev Lead
Eliassen Group
Providence, RI
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 4 hours ago
EG
Dev Lead
Eliassen Group
Bismarck, ND
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 4 hours ago
Senior HPC AI Cluster Engineer
NVIDIA Corporation
North District, IL
Support and maintain continuous integration and delivery pipelines
Added 5 hours ago
EG
Dev Lead
Eliassen Group
Helena, MT
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
Added 5 hours ago
K
Lead Engineer I, Tech Product Manager
KPMG
Louisville, KY
- $7.25 USD / hour
Deep functional and technical knowledge of data services, including integration with 3rd party sources (SCCM, JAMF, Solarwinds), familiarity with cloud infrastructure (AWS, Azure, GCP)
Added 5 hours ago
EG
Dev Lead
Eliassen Group
Frankfort, KY
- $110 to $120 USD / hour
Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.

Deloitte

Lead Product Forward Deployed Engineer (pFDE) - Products & Platforms

Boston, MA, United States

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Job details

Posting language: English
Posted: Oct 5, 2026

Original job description

The Team

The Innovation & Delivery Transformation (I&DT) team is building the future of Deloitte's business through new AI-native platforms and products. The team is responsible for identifying, nurturing, scaling, and winning in new markets through new capabilities. Rather than relying on what the firm has historically done, I&DT looks ahead and invests in areas where growth is expected three, five, and ten years into the future.

Are you looking for a unique opportunity with both start-up spirit AND enterprise strength? Deloitte's Converge for FSI business offers both! We are looking for a talented individual with an innovative mindset to join the Converge for FSI team in our mission to develop differentiated financial services products that achieve product-market fit. This role is focused on Fund & Investment Operations, an integrated, AI-enabled platform delivering oversight of fund and investment operation, transparency into service provider performance and production engine for regulatory reporting, data management and compliance.

This is a great opportunity to be on the frontlines of Deloitte's innovation & product strategy while staying close to industry/sector priorities.

Position Summary

We are looking for a highly skilled and client-facing Forward Deployed Engineer (FDE) to sit at the intersection of engineering excellence and customer partnership. In this role, you will embed directly with our most strategic clients - particularly in the financial services sector - to understand their toughest technical challenges and help them design and implement world-class solutions using our platform. This is a high-impact, high-visibility role with direct influence on product direction. You will bring the client's data products to life and solve real problems that only surface when a platform meets production data.

You are equally comfortable whiteboarding microservices architecture with a client's principal engineer, running a hands-on technical workshop for a team of developers, and standing up a compelling proof-of-concept in days. You thrive in fast-moving, high-stakes environments and know how to earn the trust of deeply technical stakeholders.

Recruiting for this role ends on 10/31/2026.

Work you'll do

Serve as the primary technical point of contact for strategic client accounts, building deep relationships with architects, engineers, and technical leaders
Lead discovery sessions to understand client architectures, pain points, and business objectives
Translate complex functional concepts into clear, compelling narratives for both technical and non-technical audiences
Look at trends in the market and experiment, bringing new ideas into the Product roadmap
Collaborate with client architects and implementation teams to configure and publish data products
Work hands-on with implementation teams to define data product structure including schema, ownership, SLAs, quality expectations, and governance attributes
Independently structure and clean large-scale financial data and load into the tool's models
Enable implementation teams to self-serve data product creation over time and increase the configurability in the process
Run office hours, enablement sessions, and targeted training to help teams build confidence independently
Review and advise on client system designs, identifying risks and recommending best practices
Experience coordinating across time zones and operating on a onshore, near shore, offshore model
Produce high-quality technical documentation, runbooks, and integration guides
Accelerate client time-to-value by enabling their teams to build confidently and independently
Act as the voice of the customer - surface product gaps, integration friction, and feature requests to internal product and engineering teams

The successful candidate would possess these skills:

Technical Stack: Strong proficiency in SQL, Python, bonus Java Springboot, ReactJS
Understanding of data product concepts including schema design, data ownership, SLAs, quality frameworks, and governance
Experience building LLM-powered agentic systems that use tools, execute multi-turn workflows, manage state, and recover from errors, with a strong understanding of token economics and how to optimize cost and latency across model calls.
Hands-on experience with microservices design principles: service decomposition, API design, resiliency patterns, observability
Experience working with structured data and unstructured data
Experience with data governance, data cataloguing, metadata management platforms, and data quality validation frameworks
Proficiency across multi-cloud environments, with AWS as a primary platform; working knowledge of Azure and GCP. Interest in staying current with the rapidly evolving AI/ML landscape and translating it into client-relevant use cases
Exceptional communicator - able to lead technical conversations with senior engineers and C-suite stakeholders alike
Strong facilitation skills for running workshops, design reviews, and working sessions
Self-directed, pro-active, highly organized, and comfortable managing multiple client implementations simultaneously
Natural curiosity and a bias for building - you'd rather spin up a demo than write a slide about one

Qualifications

Required:

Bachelor's Degree in Engineering, Computer Science or equivalent field.
6+ years of software engineering experience, with significant time spent in client-facing, solutions engineering, or field engineering roles specifically in the Investment Management industry
Ability to travel 20-25%, on average, based on the work you do and the clients and industries/sectors you serve.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

Familiarity with concepts like AUM, NAV, positions/transactions, Reg Reporting or portfolio accounting is a strong plus, though not required to start.
Familiarity with financial data platforms
Experience with AWS-based data infrastructure (EMR, S3, Glue) or Snowflake
Experience working in a start-up or product company with a strong sense of building reusable but configurable Products.

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 $105,400-$207,800.

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.

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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