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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an 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 LLMs, 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 will 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.
Accountabilities:
- 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.
Requirements:
- 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.
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