AI Solutions Architect / AI Business Architect

Mitra AI; India; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Mitra AI is looking for an experienced AI Solutions Architect to lead the design and implementation of AI-powered workflow automation across the organization. This strategic role involves collaboration with business leaders and operational teams to create intelligent solutions that enhance efficiency and scalability.

The ideal candidate will have profound experience in enterprise AI architecture and a strong grasp of integrating AI technologies into existing business practices. Excellent communication skills and the ability to navigate complex technical challenges are essential for this role.

Qualifications

• Must have 10+ years in software engineering, enterprise architecture, or AI solution delivery.
• Experience designing and deploying enterprise-scale AI solutions is essential.
• Strong understanding of large language models and AI-powered business workflows is required.

Responsibilities

• Lead the design and implementation of AI automation platforms and intelligent workflows.
• Analyze enterprise business processes to define automation strategies.
• Work closely with stakeholders to align AI initiatives with business goals.

Skills

AI platforms and automation technologies

AI agent architecture

Prompt engineering

Enterprise integrations

Data architecture

Cloud engineering

Architecture governance

AI transformation initiatives

Multi-agent systems

AI governance and compliance

Education

10+ years of experience in software engineering or AI solution delivery

Job description

We are seeking a highly experienced AI Solutions Architect to lead the design, architecture, and enterprise adoption of AI-powered workflow automation solutions across the organization.

This is a strategic and hands‑on leadership role for someone who understands enterprise business operations, modern AI technologies, systems integration, and scalable software architecture. The ideal candidate will work closely with business leaders, operational teams, IT, data teams, and external partners to identify high‑value automation opportunities and architect intelligent AI-driven solutions that improve efficiency, decision‑making, and operational scalability.

The AI Solutions Architect will define the organization’s approach to AI-enabled workflow automation, including multi‑agent orchestration, enterprise integrations, governance, scalable architecture patterns, and operational best practices. This role requires both deep technical expertise and the ability to translate complex business challenges into practical, enterprise‑ready AI solutions

JOB SPECIFIC DUTIES & RESPONSIBILITI

• ESEnterprise AI Architecture - Lead the end-to-end architecture, design, and implementation of enterprise AI automation platforms, intelligent workflows, and AI agent ecosystem
• s.AI Agent Strategy & Orchestration -Design and govern multi-agent architectures where AI agents collaborate across systems, business functions, and data sources to execute complex operational workflow
• s.Workflow Transformation - Analyze enterprise business processes and define scalable AI-driven automation strategies that reduce manual effort, eliminate inefficiencies, and improve operational performanc
• e.Solution Leadership - Define architectural standards for prompts, agent behaviors, orchestration logic, integrations, human approval flows, escalation paths, observability, and governance control
• s.Stakeholder Partnership - Work closely with executive leadership, business stakeholders, operational teams, IT, and data teams to align AI initiatives with business priorities and transformation goal
• s.Platform & Integration Oversight - Oversee integrations between AI platforms, enterprise applications, APIs, databases, cloud infrastructure, productivity tools, and document management system
• s.Technical Leadership - Provide architectural guidance and technical leadership for complex AI implementations, solution reviews, troubleshooting, and enterprise scalability challenge
• s.Governance, Security & Responsible AI - Establish best practices for AI governance, security, privacy, access control, auditability, compliance, and responsible AI adoption across the organizatio
• n.Full Stack & Engineering Oversight - Guide engineering teams across front‑end, back‑end, API, cloud, data, and integration layers to ensure delivery of scalable and maintainable AI solution
• s.AI Operations & Continuous Improvement - Define monitoring frameworks, evaluation standards, performance metrics, and optimization strategies for deployed AI systems and workflow
• s.Documentation & Standards - Develop enterprise standards, architectural documentation, implementation frameworks, operational procedures, and reusable design patterns for AI automation initiative

REQUIRED EXPERIENCES AND SKI

• LLS10+ years of experience in software engineering, enterprise architecture, automation, or AI solution delivery rol
• es.Proven experience designing and deploying enterprise‑scale AI, automation, or workflow orchestration solutio
• ns.Strong understanding of large language models (LLMs), AI agents, prompt engineering, orchestration frameworks, and AI‑powered business workflo
• ws.Experience architecting integrations across APIs, enterprise systems, cloud platforms, databases, and third‑party servic
• es.Deep understanding of enterprise application architecture, system design, scalability, authentication, and secure integration patter
• ns.Strong experience with workflow automation platforms, AI tooling ecosystems, and orchestration technologi
• es.Experience leading technical solution design sessions and translating business requirements into scalable technical architectur
• es.Strong knowledge of software engineering best practices, DevOps principles, CI/CD, observability, and operational support mode
• ls.Excellent stakeholder management and communication skills, with the ability to explain complex technical concepts to non‑technical audienc
• es.Demonstrated ability to lead cross‑functional initiatives and drive enterprise technology adopti
• on.Strong analytical thinking, problem‑solving, and strategic decision‑making capabiliti

REQUIRED SK

• ILLSAI & Automation Platforms: Strong understanding of AI platforms, LLM ecosystems, agent frameworks, workflow orchestration tools, and enterprise automation technolog
• ies.AI Agent Architecture: Experience designing AI agents with structured roles, tools, memory, context handling, guardrails, escalation logic, and human‑in‑the‑loop workfl
• ows.Prompt Engineering & AI Reliability: Ability to design, evaluate, and optimize prompts, reasoning workflows, structured outputs, and AI response quality for enterprise use ca
• ses.Enterprise Integrations: Hands‑on expertise with REST APIs, webhooks, middleware, authentication frameworks, enterprise connectors, and system interoperabil
• ity.Data & Information Architecture: Strong understanding of databases, structured and unstructured data, document processing, vector search, embeddings, and knowledge retrieval syst
• ems.Cloud & Platform Engineering: Experience with cloud‑native architectures, deployment pipelines, infrastructure management, security controls, and scalable distributed syst
• ies.Architecture Governance : Experience defining architectural standards, reusable patterns, governance controls, and enterprise technology roadm
• aps.Enterprise AI Transformation: Experience implementing AI‑driven transformation initiatives across finance, operations, customer service, marketing, IT, or shared services functi
• ons.Multi-Agent Systems: Experience building coordinated AI agent ecosystems capable of executing complex multi‑step enterprise workfl
• ows.RAG & Knowledge Systems: Experience with Retrieval Augmented Generation (RAG), enterprise knowledge bases, vector databases, embeddings, and document intelligence soluti
• ons.Data & Analytics Platforms: Exposure to modern data platforms, analytics ecosystems, reporting solutions, and enterprise data governance practi
• ces.AI Governance & Compliance: Understanding of responsible AI frameworks, compliance requirements, auditability, explainability, and enterprise AI risk managem
• ent.UI & Internal Tooling: Experience designing internal AI‑powered tools, operational dashboards, portals, or workflow interfa
• ces.Agile Delivery Leadership: Experience working within agile delivery environments and leading iterative enterprise solution implementati