Artificial Intelligence Architect

Company: Gradious Technologies
Location: Hyderabad - Onsite
Type: Full-time

AI Architect

Enterprise AI | Generative AI | Agentic AI | Cloud Architecture | Hyderabad
Generative AI and Agentic AI are rapidly evolving from experimental initiatives into core
enterprise capabilities. At Gradious Technologies, we help organizations design, build, and
scale intelligent, AI-driven solutions that deliver measurable business impact.
We are looking for an experienced AI Architect to lead the design and implementation of
enterprise-grade AI solutions. This role is ideal for someone with a strong foundation in cloud
and enterprise architecture, combined with deep expertise in Generative AI, RAG, LLMs, and
agentic systems. You will play a key role in defining technical strategy, establishing
architecture standards, and driving AI solutions from concept to production.

Key Responsibilities

Architect end-to-end enterprise AI solutions encompassing applications, APIs, data
platforms, cloud infrastructure, security, integrations, and user experience.
Design and lead Generative AI and Agentic AI solutions leveraging LLMs, RAG,
enterprise search, tool/function calling, and multi-agent orchestration.
Define cloud-native architectures for AI workloads across Azure, AWS, and/or GCP
using managed AI services, containers, Kubernetes, and serverless technologies.
Evaluate and select AI models, frameworks, vector databases, and cloud services
based on business, security, performance, scalability, and cost considerations.
Design integrations between AI solutions and enterprise platforms such as Salesforce,
SAP, ServiceNow, ERP/CRM systems, data platforms, and external APIs.
Develop architecture blueprints, reference architectures, reusable components, and
technical standards to support AI delivery at scale.
Lead technical discovery sessions, architecture workshops, design reviews, and
proof-of-concept initiatives with internal and customer stakeholders.
Define AI evaluation, monitoring, and observability frameworks, including accuracy,
grounding, hallucination mitigation, latency, cost optimization, and safety measures.
Establish governance frameworks, guardrails, human-in-the-loop controls, identity
and access management models, and Responsible AI practices.
Mentor architects, technical leads, and engineering teams while fostering
architectural excellence across AI initiatives.

Required Qualifications

12 to 20+ years of experience in software engineering, solution architecture, enterprise
architecture, or cloud architecture, with recent hands-on technical involvement.
Proven experience architecting and delivering production-grade Generative AI or
Agentic AI solutions utilizing LLMs, RAG, tool/function calling, or multi-agent orchestration.

Deep expertise in cloud architecture across Azure, AWS, or GCP; multi-cloud
experience is highly desirable.
Hands-on experience with modern AI frameworks such as LangChain, LangGraph,
Semantic Kernel, AutoGen, or CrewAI.
Strong software engineering background with proficiency in Python and the ability to
guide implementation-level technical decisions.
Solid understanding of microservices, REST APIs, event-driven architectures, and
enterprise integration patterns.
Experience working with relational, NoSQL, and vector databases, along with designing
knowledge retrieval and data access patterns for AI systems.
Excellent communication and stakeholder management skills, with the ability to
engage effectively with both technical teams and business leaders.

Preferred Qualifications

Experience with Infrastructure as Code (Terraform, Bicep, CloudFormation), CI/CD
pipelines, and production support practices.
Hands-on exposure to Azure OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex AI,
or Gemini.
Cloud architecture certifications from Azure, AWS, or GCP.
Experience building reusable AI platforms, accelerators, or enterprise AI capabilities.
Familiarity with Model Context Protocol (MCP), knowledge graphs, and advanced enterprise search solutions.
Experience in customer-facing architecture, solution consulting, or technical advisory
roles.

Why Join Gradious Technologies?

Lead architecture decisions for high-impact enterprise AI initiatives from strategy through production deployment.

Work at the forefront of Generative AI, Agentic AI, and cloud-native technologies.

Influence the technical direction of AI programs while shaping reusable frameworks and architectural standards.

Collaborate directly with customers, leadership teams, and engineering organizations to deliver transformative AI solutions.

Be part of a fast-growing organization where innovation, ownership, and continuous learning are valued.