Uttar Pradesh Forward deployed engineer Jobs – 17 Open Jobs Today

Forward Deployed Engineer, Gen AI
Lister Digital —Husainpur Tarai, Uttar Pradesh
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Forward Deployed Engineer
Attentive.ai —Noida, Uttar Pradesh
- Night shift
- Sales
- Electrical experience
- Organisational skills
Quick apply
Forward Deployed Engineering Leader- Microsoft AI Business Solutions
Crowe Capability Center - India —Noida, Uttar Pradesh
- Full-time
- Azure
- Customer service
- APIs
Quick apply
2d
Advisory Software Engineer
Pitney Bowes India Pvt. Ltd. —Noida, Uttar Pradesh
- Online application
- Azure
- Java
- Master's degree
Quick apply
2d
Associate Engineering Manager
Ingenico —Noida, Uttar Pradesh
- Full-time
- Java
- AWS
- APIs
Engineering Manager
Ingenico —Noida, Uttar Pradesh
- Full-time
- Java
- AWS
- APIs
AI Deployment Strategist
Pigment —Newara, Uttar Pradesh
- Full-time
- Computer Science
- English
- SQL
AI Solutions Leads
Acme Services —Noida, Uttar Pradesh
- ₹30,00,000 - ₹35,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Patch/Deployment Management
NTT Ltd —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Windows
AI Architecture Lead
Acme Services —Noida, Uttar Pradesh
- ₹30,00,000 - ₹35,00,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
Quick apply
Forward Deployed Engineer(FDE)/AIソリューションエンジニア
Rikkeisoft —Ban, Uttar Pradesh
- PMP
- SQL
- AWS
Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Regional AI & Data Hub Manager
Bureau Veritas —Noida, Uttar Pradesh
- Full-time
- English
- Travel
- AI
Senior Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- Computer Science
Regional AI & Data Hub Technical Lead
Bureau Veritas —Noida, Uttar Pradesh
- Full-time
- English
- Master's degree
- Travel
AI Engagement Manager
VML/WPP Enterprise Solutions —Noida, Uttar Pradesh
- Salesforce
- DevOps
- AWS
Quick apply
HR Consultant
Winet Infratel —Noida, Uttar Pradesh
- ₹15,000 - ₹20,000 a month
- Full-time
- Microsoft Office
- Bachelor's degree
- Human resources
Quick apply
14d

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Forward Deployed Engineer, Gen AI
Lister Digital —Husainpur Tarai, Uttar Pradesh
Strategic engagement with the Fixed Income business (investment bank) in New. AI experience, and a consultative approach to working with senior business.
Gen AI Architect (AI Engineer) Innovative solutions for digital transformation
Skyleaf Consultants —Noida, Uttar Pradesh
Industry standards and regulatory requirements. Work closely with data engineers, software developers, and product managers to integrate.
₹35,00,000 - ₹40,00,000 a year

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Forward Deployed Engineer, Gen AI

Lister Digital
Husainpur Tarai, Uttar Pradesh

Apply Now

Job details

Full-time

Qualifications

BCS
Law
Computer Science
MCP
Master's degree
Bachelor's degree
SDKs
APIs
Agile
Financial services
AI
Communication skills
Python

Full job description

About This Role

5 to 15 years of experience
Skills: Python, GenAI, Claude Agent SDK and other agentic frameworks (comparable LLM APIs), prompt engineering

Forward Deployed Engineer, Generative AI
| Full-time | Financial Services | New York, NY

About the role
Bounteous is seeking a Forward Deployed Engineer, Generative AI to support a
strategic engagement with the Fixed Income business (investment bank) in New
York.
This is a highly embedded, client-facing engineering role. The FDE will work directly
with Fixed Income business users, technology teams, quants, operations, and control
functions to identify high-value AI use cases, translate business workflows into
technical designs, and build production-grade AI solutions.
This role is not purely advisory. The successful candidate will be expected to sit close
to the business, understand front-office and operational workflows, write code, test
solutions, debug issues, and help move AI use cases from concept to controlled
production adoption.

The ideal candidate combines strong software engineering skills, practical generative
AI experience, and a consultative approach to working with senior business
stakeholders in a regulated financial-services environment.

What you will do

Embed with banks Fixed Income teams in New York to understand business

workflows, pain points, data availability, and AI opportunities.

Partner with traders, sales, research, operations, risk, compliance, and

technology stakeholders to translate business requirements into AI-enabled
solutions.

Design, prototype, and build generative AI applications using Python, OpenAI or

Claude Agent SDK and other agentic frameworks (comparable LLM APIs),
prompt engineering, MCP integrations, orchestration, retrieval-augmented
generation, and agentic workflows.

Develop AI solutions that support Fixed Income use cases such as knowledge

retrieval, workflow automation, document analysis, trade support, client
intelligence, operational exception handling, and management reporting.

Build retrieval pipelines across structured and unstructured data, including

research, policies, procedures, trade-related data, market commentary, client
documents, and internal knowledge repositories.

Apply prompt engineering techniques to improve model accuracy, consistency,

explainability, and user trust.

Design evaluation frameworks to test AI outputs for accuracy, completeness,

hallucination risk, relevance, and compliance alignment.

Work with technology and control teams to ensure solutions meet enterprise

standards for security, data privacy, auditability, access control, and model
governance.

Communicate technical trade-offs clearly to both engineering teams and

business stakeholders.

Support user adoption by gathering feedback, refining workflows, and ensuring

AI tools solve real business problems rather than becoming standalone
experiments.

Identify reusable patterns, accelerators, and components that can be scaled

across other financial-services use cases.

What we are looking for
Required qualifications

Bachelor’s degree in computer science, Engineering, Mathematics, Finance, or a

related field, or equivalent practical experience.

Strong hands-on experience with Python and modern software engineering

practices.

Practical experience building applications using Python, OpenAI or Claude

Agent SDK and other agentic frameworks (comparable LLM APIs).

Strong understanding of prompt engineering, including prompt design, prompt

testing, grounding, context management, and output validation.

Experience building AI or data-driven applications that use APIs, databases,

cloud services, and enterprise data sources.

Ability to work directly with business stakeholders, lead discovery discussions,

clarify ambiguous requirements, and convert business problems into technical
solutions.

Strong communication skills and the ability to explain AI concepts, risks, and

design choices in clear business language.

Experience working in agile, fast-moving environments where prototypes must

quickly evolve into production-ready solutions.

Preferred qualifications

Financial-services experience, ideally within capital markets, Fixed Income,

trading, sales, risk, operations, or banking technology.

Familiarity with Fixed Income products such as rates, credit, securitised

products, municipals, FX, or derivatives.

Experience with retrieval-augmented generation, vector databases,

embeddings, semantic search, and document intelligence.

Experience designing AI evaluation frameworks, including test datasets, quality

metrics, human review loops, and model performance monitoring.

Familiarity with enterprise AI governance, model risk management, compliance

review, data privacy, and regulatory expectations in financial services.

Experience in a forward-deployed, consulting, client engineering, post-sales

engineering, or technical delivery role.

Exposure to cloud platforms, secure APIs, authentication/authorisation, and

enterprise integration patterns.
Success in this role looks like

The Fixed Income business sees the FDE as a trusted technical partner who

understands both the business context and the engineering requirements.

AI use cases are prioritised based on measurable business value, feasibility, data

readiness, and governance requirements.

Prototypes move quickly but responsibly into controlled pilots and production

pathways.

AI outputs are tested, explainable, monitored, and aligned with enterprise risk

and compliance expectations.

Business users adopt the solutions because they improve real workflows,

reduce manual effort, and support better decision-making.

Why Bounteous
Bounteous is building practical, production-focused AI solutions for complex enterprise
environments. This role offers the opportunity to work at the intersection of generative
AI, capital markets, and business transformation, helping a leading financial institution
apply AI to high-value Fixed Income workflows in a responsible and scalable way

Apply now

Apply Now

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forward deployed engineer jobs in uttar pradesh

Forward Deployed Engineer, Gen AI

Forward Deployed Engineer

Forward Deployed Engineering Leader- Microsoft AI Business Solutions

Advisory Software Engineer

Associate Engineering Manager

Engineering Manager

AI Deployment Strategist

AI Solutions Leads

Patch/Deployment Management

AI Architecture Lead

Forward Deployed Engineer(FDE)/AIソリューションエンジニア

Lead Assistant Manager

Regional AI & Data Hub Manager

Senior Manager

Regional AI & Data Hub Technical Lead

AI Engagement Manager

HR Consultant

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