AI Architect – Enterprise Strategy

Jobgether; India; Hybrid; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Competitive compensation

Work on cutting-edge AI systems

Flexible remote work environment

Continuous learning opportunities

Job summary

Jobgether is seeking an AI Architect – Enterprise Strategy based in India. In this pivotal role, you will work at the front lines of enterprise AI transformation, creating generative AI and autonomous systems that enhance operational efficiencies for major organizations.

Your efforts will involve collaborating with senior stakeholders to convert complex business challenges into effective AI architectures while ensuring adherence to governance standards. This position demands a blend of strategic thinking and hands-on engineering skills, making it perfect for those eager to influence high-stakes decisions.

Qualifications

• 6–10 years of experience in software or AI/ML engineering roles.
• Strong experience with generative AI solutions in production.
• Deep understanding of LLMs and agent-based architectures.

Responsibilities

• Lead design and implementation of generative AI architectures.
• Translate client objectives into scalable AI solutions.
• Build and deploy production-ready AI systems.

Skills

Software engineering

AI/ML engineering

Python programming

Deep learning models

MLOps principles

Tools

AWS

Azure

GCP

LangChain

LlamaIndex

AutoGen

Job description

Overview

AI Architect – Enterprise Strategy, based in India.

This role sits at the forefront of enterprise AI transformation, where you will design and deliver advanced generative AI and autonomous agent solutions that reshape how large organizations operate. You will work directly with enterprise stakeholders to translate complex business challenges into scalable AI architectures powered by modern large‑language models, orchestration frameworks, and vector databases. The position blends strategic advisory with hands‑on engineering, requiring you to both define AI roadmaps and build production‑ready systems. You will play a critical role in shaping how clients adopt AI responsibly, ensuring solutions are robust, scalable, and aligned with enterprise governance standards. This is a high‑impact, client‑facing role where you influence executive‑level decisions while also driving deep technical execution. You will collaborate across engineering, data, and business teams to bring cutting‑edge AI capabilities into real‑world enterprise environments. The environment is fast‑evolving, innovation‑driven, and focused on delivering measurable business value through next‑generation AI systems.

Responsibilities

• Lead the design and implementation of enterprise‑grade generative AI and autonomous agent architectures tailored to complex business use cases.
• Translate strategic client objectives into scalable AI solutions, including workflow orchestration, multi‑agent systems, and LLM‑based applications.
• Act as a trusted advisor to senior stakeholders, facilitating workshops to identify high‑value AI opportunities and define adoption roadmaps.
• Build and deploy production‑ready AI systems using modern frameworks, APIs, vector databases, and cloud AI services.
• Define and enforce best practices for responsible AI, including observability, testing, governance, and mitigation of bias and hallucinations.
• Integrate AI solutions into enterprise ecosystems such as CRM, ERP, and cloud platforms to enable seamless business adoption.
• Evaluate and experiment with emerging AI tools, frameworks, and platforms to continuously enhance solution capabilities.
• Collaborate with cross‑functional teams to ensure successful delivery, scaling, and operationalization of AI initiatives.

Qualifications

• 6–10 years of experience in software engineering, AI/ML engineering, or technical consulting roles.
• Strong hands‑on experience building and deploying generative AI or machine learning solutions in production environments.
• Deep understanding of LLMs, agent‑based architectures, reasoning systems, and tool‑use frameworks.
• Strong Python programming skills with experience using frameworks such as LangChain, LlamaIndex, AutoGen, or similar.
• Experience working with cloud AI services (AWS, Azure, or GCP) and enterprise integration environments.
• Ability to translate business problems into technical AI architectures and communicate effectively with executive stakeholders.
• Experience with vector databases, prompt engineering, and orchestration of multi‑step AI workflows.
• Strong knowledge of MLOps principles, including monitoring, evaluation, and deployment of AI systems.
• Excellent problem‑solving, consulting, and client‑facing communication skills.

Benefits

• Competitive compensation aligned with experience and market benchmarks.
• Opportunity to work on cutting‑edge generative AI and autonomous agent systems for global enterprises.
• High‑impact client‑facing role with direct exposure to executive‑level strategy discussions.
• Flexible remote work environment across multiple geographies.
• Continuous learning opportunities in advanced AI, cloud, and enterprise architecture.
• Exposure to modern AI frameworks, tools, and large‑scale production environments.
• Collaborative, innovation‑driven culture focused on solving complex enterprise challenges.