Architect

Birlasoft; New Jersey; Hybrid; USD 180,000 - 240,000; Full time

Job summary

Birlasoft is seeking an senior AI Solutions Architect to lead the evaluation, architecture, implementation, and optimization of enterprise AI solutions across Finance and Corporate Functions. The role demands deep expertise in Generative AI, LLMs, and AI platform architecture, with hands-on experience across major models and platforms.

The ideal candidate will drive AI adoption, governance, security, and cost optimization while working directly with senior leaders to identify high-value AI use

Qualifications

• 15+ years of overall experience.

Responsibilities

• Define enterprise AI architecture and roadmap aligned with business objectives.
• Design scalable, secure, and production-ready GenAI solutions leveraging multiple LLM providers.
• Establish AI reference architectures, design patterns, governance standards, and best practices.
• Lead architecture reviews and provide technical leadership across AI initiatives.
• Build frameworks for AI adoption across Finance, Operations, Risk, Underwriting, Claims, and Corporate functions.
• Continuously evaluate emerging LLMs and new releases from major providers.
• Develop reusable prompt libraries and knowledge repositories.
• Establish AI performance measurement frameworks and ROI tracking.
• Drive initiatives to reduce LLM operational costs while maintaining output quality.
• Architect AI agents and multi-agent workflows; enable tool calling and orchestration.
• Lead end-to-end delivery of GenAI solutions from ideation to production deployment.
• Define and implement Responsible AI governance, security, and privacy controls.

Skills

AI strategy

Enterprise architecture

Executive stakeholder management

GenAI optimization

Prompt engineering

Cost optimization

Tools

GPT-4o / GPT-5

Gemini

Mistral

Cohere

Open-source LLM ecosystems

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

AWS Bedrock

Databricks AI

Job description

15+ Years Overall Experience
7+ Years in AI/ML Solutions
3+ Years in Generative AI and LLM-based Architectures

Role Summary

We are seeking a highly experiencedAI Solutions Architectto lead the evaluation, architecture, implementation, and optimization of enterprise AI solutions across Finance and Corporate Functions. This is a strategic, customer-facing role requiring deep expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and AI platform architecture.

The ideal candidate will possess strong hands-on expertise across leading foundation models including OpenAI GPT, Claude, Gemini, Llama, Mistral, Cohere, and emerging AI platforms. The individual will continuously assess new model releases, benchmark capabilities, identify business applicability, and drive AI adoption while ensuring measurable business value, governance, security, and cost optimization.

This role will work directly with senior business leaders, particularly within Finance and Executive Leadership teams, to identify opportunities where AI can improve productivity, decision quality, operational efficiency, and reduce overall AI consumption costs through advanced prompt engineering, model selection, and architecture optimization.

Key Responsibilities

AI Strategy & Architecture

• Define enterprise AI architecture and roadmap aligned with business objectives.
• Design scalable, secure, and production-ready GenAI solutions leveraging multiple LLM providers.
• Establish AI reference architectures, design patterns, governance standards, and best practices.
• Lead architecture reviews and provide technical leadership across AI initiatives.
• Build frameworks for AI adoption across Finance, Operations, Risk, Underwriting, Claims, and Corporate functions.
• Continuously evaluate emerging LLMs and new releases from:
• OpenAI (GPT Family)
• Anthropic (Claude)
• Perform comparative assessments across:
• Accuracy
• Reasoning capability
• Hallucination rates
• Performance
• Security posture
• Cost per token
• Build model evaluation scorecards and recommendation frameworks.
• Design advanced prompting frameworks for enterprise use cases.
• Partner with Finance executives and business users to optimize prompts for:
• Cost reduction
• Output accuracy
• Response consistency
• Develop reusable prompt libraries and knowledge repositories.
• Establish AI performance measurement frameworks and ROI tracking.
• Drive initiatives to reduce LLM operational costs while maintaining output quality.

Agentic AI & AI Automation

• Architect AI agents and multi-agent frameworks.
• Design autonomous workflows leveraging:
• Agent-to-Agent communication
• Tool Calling
• Function Calling
• Workflow Orchestration
• Build intelligent AI copilots and virtual assistants for business functions.

Long Description

• Lead end-to-end delivery of GenAI solutions from ideation through production deployment.
• Design and implement:
• Retrieval Augmented Generation (RAG)
• GraphRAG
• Knowledge Management Platforms
• Enterprise Search Solutions
• Integrate AI solutions with enterprise applications and data platforms.

Responsible AI & Governance

• Define and implement:
• Responsible AI frameworks
• Security and Privacy controls
• Compliance standards
• Guardrails and human-in-the-loop processes
• Ensure enterprise AI solutions meet regulatory and risk requirements.
• Act as trusted AI advisor to senior executives.
• Translate complex AI concepts into business outcomes.
• Conduct AI workshops and executive briefings.
• Identify high-value AI use cases and build business cases.
• Support AI investment decisions and vendor evaluations.

Required Technical Skills

• GPT-4o / GPT-5
• Gemini
• Mistral
• Cohere
• Open-source LLM ecosystems
• Agentic AI
• Multi-Agent Systems
• LLMOps
• AI Governance

RAG & Knowledge Systems

• RAG
• GraphRAG
• Hybrid Search
• Vector Databases
• Embeddings
• Semantic Search

AI Frameworks

• LangChain
• LangGraph
• Semantic Kernel
• AutoGen
• CrewAI
• AWS Bedrock
• Databricks AI

Programming

• Python
• REST APIs
• Microservices
• Executive presence and communication skills.
• Ability to influence C-level stakeholders.
• Strong consulting and problem-solving capabilities.
• Experience leading cross-functional AI transformation programs.
• Ability to mentor architects, engineers, and business teams.

Ideal Candidate Profile

A senior AI leader and hands-on architect who can seamlessly bridgebusiness strategy, enterprise architecture, GenAI innovation, and executive stakeholder management, while continuously evaluating emerging AI technologies and ensuring we remains at the forefront of enterprise AI adoption.