Top 112 Stack developer java, microservices, angular Jobs in Hamilton, Oh

Lead Forward Deployed Engineer, Snowflake
Deloitte —Cincinnati, OH
- $189,200 - $372,900 a year
- Full-time
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- Computer Science
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Google AI Lead Architect
Deloitte —Cincinnati, OH
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- Full-time
- Azure
- Computer Science
- Up to 50% travel
Cyber Identity - PlainID/PBAC Senior Engineering Management Specialist/Senior Consultant
Deloitte —Cincinnati, OH
- $105,400 - $207,800 a year
- Full-time
- Up to 50% travel
- 3 years
- Travel
4d
Salesforce CTA, Associate Vice President
Deloitte —Cincinnati, OH
- $171,500 - $292,000 a year
- Full-time
- Computer science
- Management
- Computer Science
Cyber Identity - PlainID/PBAC Engineering Manager II
Deloitte —Cincinnati, OH
- $134,500 - $265,100 a year
- Full-time
- Up to 50% travel
- 3 years
- Travel
4d
Google Infrastructure and Security Lead Architect
Deloitte —Cincinnati, OH
- $141,200 - $278,300 a year
- Full-time
- 7 years
- Computer Science
- Up to 50% travel
10d
Cloud Native Senior Developer
Great American Insurance Company —Cincinnati, OH
- Full-time
- Computer science
- Azure
- Computer Science
- Commuter assistance
- Employee stock purchase plan
Quick Apply
10d
Principal Software Engineer - Full Stack
Ark PES —United States
- $130,000 - $180,000 a year
- Full-time
- Remote
- Computer Science
- Research
- Java
- Health insurance
- Dental insurance
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Salesforce Commerce Cloud - Sr. SFCC Backend Engineer
Vytwo —United States
- Full-time
- Remote
- 8 years
- Mentoring
- Senior level
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Meanstack Architect with DevOps exp
Vytwo —United States
- $45 - $50 an hour
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
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Lead Forward Deployed Engineer, Snowflake

Deloitte -
Cincinnati, OH

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Job Details

Full-time
$189,200 - $372,900 a year

Qualifications

AI models
Software engineering
Cloud data warehouses
Project management experience in technology
Enterprise solutions implementation
AI platforms (beyond public GPTs)
Enterprise software systems development
Snowflake
Managing engineering teams
Model deployment
Software documentation
Implementing IT solutions
Generative AI
Data analytics technologies
Senior leadership

Full Job Description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Lead Snowflake FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale.

Client Engagement

Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.

Cross-Functional Pod Leadership & Program Governance

Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
Mentor and develop junior FDEs

GenAI Solution Development

Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.
Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.

Engineering & Data Foundations

Review and contribute to production-quality code
Guide architecture of data pipelines powering GenAI use cases
Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices
Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)

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.

Required qualifications

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
1+ years of experience with Snowflake including hands-on experience with one of the following key platforms; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
1+ years of experience building reliable, maintainable, and well-documented code
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available

Preferred qualifications

Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
Experience operating within hybrid onshore/offshore teams
Familiarity with security, privacy, and compliance considerations

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 $189,200 to $372,900.

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.

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Refine Your Search

stack developer java, microservices, angular jobs in hamilton, oh

Lead Forward Deployed Engineer, Snowflake

Google AI Lead Architect

Cyber Identity - PlainID/PBAC Senior Engineering Management Specialist/Senior Consultant

Salesforce CTA, Associate Vice President

Cyber Identity - PlainID/PBAC Engineering Manager II

Google Infrastructure and Security Lead Architect

Cloud Native Senior Developer

Principal Software Engineer - Full Stack

Salesforce Commerce Cloud - Sr. SFCC Backend Engineer

Meanstack Architect with DevOps exp

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