Forward-Deployed AI Product Architect IRC302350

GlobalLogic; Poland; On-site; PLN 300,000 - 420,000; Full time

Job summary

GlobalLogic in Poland is seeking a Forward-Deployed AI Product Architect to bridge core platform AI capabilities with enterprise clients in FinTech and enterprise SaaS. You will design autonomous AI workflows and oversee end-to-end deployment within regulated environments.

The role demands hands-on building, deep product architecture, and the ability to communicate ROI to executives while partnering with client teams to deliver scalable, compliant AI solutions.

Qualifications

• 15+ years in software engineering, enterprise product or solution architecture.
• 5+ years delivering high-scale products in FS or Enterprise SaaS.
• Fluent with modern AI stack, tools, and IDE-based assistants.

Responsibilities

• Architect Intent-Driven AI workflows for financial domain logic.
• Design RAG pipelines and vector DB architectures for large data sources.
• Bridge legacy core systems with secure architecture and MCP implementations.
• Accelerate feature delivery with autonomous delivery loops and tests.
• Implement AI governance, deterministic controls, and compliance checks.
• Measure engineering velocity and provide executive-level architectural input.
• Embed within client engineering teams and translate business goals to AI specs.
• Hands-on in RAG, vector DBs, evaluation frameworks, and multi-agent orchestration.

Skills

Enterprise software engineering

AI platform understanding

Client-facing engagement

Tools

Claude Code

Cursor

Windsurf

LangChain

AutoGen

LlamaIndex

Semantic Kernel

Vector databases

Job description

Forward-Deployed AI Product Architect IRC302350

Function

Engineering

Experience

10-15 years

Location

Poland

Skills

Autogen, Claude code, Cursor, Google Antigravity, langchain, llamaindex, MCP, openai, RAG, semantic kernel, Vector Databases (AI/RAG)

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).

You are not just deploying a tool; you are embedding autonomous, intent-driven AI workflows into the client’s product ecosystem. This role requires a hands-on builder, deep product architect, and first-principles thinker who can gain trust with client developers and justify product ROI to executive stakeholders.

#LI-TZ1

Requirements

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.

Nice-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.

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.
• 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

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

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.

Notes

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