Title: Architect

Birlasoft; United States; Hybrid; USD 180,000 - 280,000; Full time

Job summary

Birlasoft in New Jersey (Hybrid) seeks an experienced AI Solutions Architect to lead evaluation, architecture, and deployment of enterprise AI across Finance and Corporate Functions. The role requires deep GenAI expertise and hands-on work with leading LLMs.

You will set reference architectures, govern AI programs, optimize cost, and mentor teams. Interaction with senior leaders to translate AI opportunities into measurable business value while ensuring security and governance.

Qualifications

• 15 years overall experience in AI, with deep specialization in GenAI and enterprise AI.
• 7 years in AI/ML solutions and 3+ years in Generative AI architectures.
• Experience working with senior executives and driving business value.

Responsibilities

• Define enterprise AI architecture and roadmap aligned with business objectives.
• Lead evaluation of LLMs and AI platforms; benchmark and select providers.
• Design scalable, secure GenAI solutions and governance frameworks.
• Drive cost optimization, token efficiency, and ROI tracking.
• Architect AI agents, multi-agent workflows, and automation solutions.

Skills

GenAI architecture

Agentic AI

Multi-Agent Systems

Executive advisory

Leadership in AI

Governance and security

Education

Bachelor's degree in Computer Science, AI, or related field

Advanced degree preferred

Tools

OpenAI GPT-4o

Claude Sonnet/Opus

Gemini

Llama

Mistral

Cohere

LangChain

Job description

Area(s) of Responsibility

Location: New Jersey (Remote works)

Experience

• 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 experienced AI Solutions Architect to 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.

LLM Evaluation & Benchmarking

• Continuously evaluate emerging LLMs and new releases from:

• OpenAI (GPT Family)

• Anthropic (Claude)

• Perform comparative assessments across:

• Accuracy

• Response quality

• Reasoning capability

• Hallucination rates

• Performance

• Security posture

• Cost per token

• Enterprise readiness

• Build model evaluation scorecards and recommendation frameworks.

Prompt Engineering & Token Optimization

• Design advanced prompting frameworks for enterprise use cases.

• Partner with Finance executives and business users to optimize prompts for:

• Cost reduction

• Token consumption efficiency

• 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:

• MCP (Model Context Protocol)

• Agent-to-Agent communication

• Tool Calling

• Function Calling

• Workflow Orchestration

• Build intelligent AI copilots and virtual assistants for business functions.

Long Description Enterprise AI Implementation

• 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

• AI Copilots

• Document Intelligence Solutions

• Integrate AI solutions with enterprise applications and data platforms.

Responsible AI & Governance

• Define and implement:

• Responsible AI frameworks

• Security and Privacy controls

• Model governance

• Compliance standards

• Guardrails and human-in-the-loop processes

• Ensure enterprise AI solutions meet regulatory and risk requirements.

Executive Advisory

• 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 Large Language Models

• GPT-4o / GPT-5
• Claude Sonnet / Opus
• Gemini
• Llama
• Mistral
• Cohere
• Open-source LLM ecosystems

AI Architecture

• GenAI Architecture
• Agentic AI
• Multi-Agent Systems
• AI Copilots
• Enterprise AI Platforms
• LLMOps
• AI Governance

RAG & Knowledge Systems

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

AI Frameworks

• LangChain
• LangGraph
• Semantic Kernel
• AutoGen
• CrewAI
• LlamaIndex

Cloud & AI Platforms

• Azure AI Foundry
• Azure OpenAI
• AWS Bedrock
• Google Vertex AI
• Databricks AI

Programming

• Python
• REST APIs
• Microservices
• Enterprise Integration Patterns

Leadership Expectations

• 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 bridge business strategy, enterprise architecture, GenAI innovation, and executive stakeholder management, while continuously evaluating emerging AI technologies and ensuring we remain at the forefront of enterprise AI adoption.

Locations

• Country/Region: US
• Work Model: Hybrid
• Position Type: Permanent
• Salary Range:
• Location: US - NJ - BIRLASOFT OFFICE