Forward Deployed Engineer IRC300053

GlobalLogic; Dadri; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Flexible work schedules

Work from home options

Annual performance bonuses

Subsidized meals or snacks

Job summary

GlobalLogic seeks a Forward-Deployed AI Product Architect to bridge core AI platforms with complex financial workflows. You will design agentic AI capabilities for regulated finance sectors and lead client-facing architecture work.

Responsibilities include building RAG pipelines, enabling secure integrations with legacy systems, and driving governance with automated compliance checks while collaborating with executive stakeholders.

Qualifications

• 15+ years of software/enterprise architecture experience in financial services or enterprise SaaS.
• Deep hands-on fluency with modern AI stacks and tooling.
• Ability to design secure, scalable AI-enabled architectures for regulated domains.
• Strong understanding of secure SDLC, DevSecOps, and data privacy regulations.

Responsibilities

• Architect domain-specific AI workflows and integration with core banking systems.
• Design RAG pipelines and vector DB architectures for large financial data sources.
• Lead autonomous delivery loops and governance within AI pipelines.
• Embed with client engineering teams to translate business goals into AI specs.
• Communicate architectures and security postures to executives and engineers.

Skills

AI fluency

Software engineering

Enterprise architecture

Financial domain knowledge

Tools

Claude Code

Cursor

Windsurf

LangChain

AutoGen

LlamaIndex

Semantic Kernel

Vector databases

Job description

Department/Project Description

We are seeking a Forward-Deployed AI Product Architect to work at the intersection of core product engineering, AI orchestration, and high-impact client deployment. In this role, you will bridge the gap between our core AI platform capabilities and the highly regulated, complex workflows of our enterprise clients (specifically across FinTech, Financial Services, and Enterprise SaaS).

Requirements

Job Responsibilities

Domain-Specific AI Integration

Architect Intent-Driven Workflows: Design and deploy agentic AI workflows tailored to complex financial domain logic, ensuring systems can reliably process high-stakes data (e.g., automated credit underwriting analysis, regulatory compliance checking, or algorithmic fraud intent mapping).

Context-Aware RAG Pipelines: Build and optimize domain-specific Retrieval-Augmented Generation (RAG) and vector database architectures that ingest massive, disparate financial data sources (e.g., SEC filings, transaction ledgers, legacy ERP schemas) to feed localized AI agents.

Bridge Legacy Core Systems: Design secure abstraction layers and Model Context Protocol (MCP) implementations that allow AI systems to interact seamlessly with legacy core-banking systems, monolithic financial ledgers, and rigid enterprise APIs.

Product Delivery & SDLC Acceleration

Accelerate Product Feature Delivery: Partner directly with the client’s product and engineering leadership to replace traditional, bottlenecked sprint cycles with autonomous delivery loops that generate domain-compliant code, comprehensive unit tests, and validation artifacts.

Establish Guardrails & AI Governance: Implement deterministic controls, 'human-in-the-loop' verification, and automated compliance checks within the AI pipeline to meet strict financial sector regulatory standards (e.g., SEC, GDPR, SOC2).

Measure Engineering Velocity: Define, track, and report on hard product metrics resulting from AI implementation, such as reduction in feature-to-production cycle time, code review velocity, and coverage of automated edge-case test generation.

Forward-Deployed Customer Engagement

Embedded Engineering Leadership: Embed directly within client engineering teams as a trusted technical advisor, leading by example by writing code, evaluating architectures, and building working proofs of concept.

Translate Intent to Architecture: Map high-level business goals from client Product Managers into technical AI specifications, ensuring the AI agents accurately understand product requirements and domain constraints.

Executive Value Articulation: Present technical architectures, security postures, and measured business outcomes to both engineering teams and C-level executives (CTO, Chief Risk Officer, CPO).

Hands on in Retrieval Augmented Generation (RAG), Vector Databases, Evaluation Frameworks, Prompt Engineering, Tool Calling, Function Calling, Multi-agent orchestration, AI Observability

Must-Have Qualifications And Experience

Experience: 15+ years of experience in software engineering, enterprise product architecture, platform engineering, or solution architecture, with at least 5+ years spent delivering high-scale products within the Financial Services or Enterprise SaaS sectors.

Technical Fluency: Deep, hands-on fluency with the modern AI stack. You must be able to build, evaluate, and debug AI development tools, agentic frameworks, and IDE-based assistants.

Domain Expertise: Thorough understanding of financial technology standards, secure SDLC, DevSecOps, data privacy laws, and enterprise architecture patterns.

Good-to-Have Skills

Direct experience with tools/frameworks like Claude Code, Cursor, Windsurf, LangChain, AutoGen, LlamaIndex, Semantic Kernel, and vector databases.

Background in customer-facing technical roles such as Forward-Deployed Engineer, Principal Solutions Architect, or Technical Advisor.

What we offer

Exciting Projects:

We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment:

You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!

Work-Life Balance:

GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development:

Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits:

We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks:

We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.