- Job Title:
- AI &
- SOI Architect (Artificial Intelligence &
- Service-Oriented Integration Architect)
- Experience:
- 6 Years
- Location:
- Hyderabad
- About the Role

We are seeking an experienced AI &

- SOI Architect to design, develop, and implement scalable AI-driven solutions and enterprise integration architectures. The ideal candidate will have expertise in Artificial Intelligence, Machine Learning, Generative AI, APIs, microservices, and Service-Oriented Integration (SOI). You will work closely with business stakeholders, product teams, and engineering teams to build intelligent, secure, and scalable solutions that align with organisational goals.
- Key Responsibilities
- Define and drive the AI and SOI architecture strategy aligned with business objectives.
- Design scalable AI/ML and Generative AI solutions for enterprise applications.
- Architect service-oriented and event-driven integration solutions using APIs, microservices, and messaging platforms.
- Collaborate with business, product, and engineering teams to translate business requirements into technical architecture.
- Evaluate emerging AI technologies, frameworks, and integration platforms to recommend innovative solutions.
- Develop architecture blueprints, technical standards, design patterns, and governance frameworks.
- Ensure AI solutions comply with security, privacy, regulatory, and ethical AI standards.
- Design integration patterns using REST APIs, GraphQL, event streaming, and enterprise messaging technologies.
- Provide technical leadership during solution design, development, deployment, and production support.
- Conduct architecture reviews, code reviews, and technical assessments to ensure quality and scalability.
- Optimise AI model deployment, inference performance, and integration workflows.




- Mentor development teams on AI engineering, integration best practices, and architectural standards.
- Required Skills &
- Qualifications
- 6 years of overall IT experience with strong experience in solution architecture, AI, or enterprise integration.
- Hands-on experience designing AI/ML or Generative AI solutions using frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, or similar.
- Experience integrating Large Language Models (LLMs) using platforms such as OpenAI, Azure OpenAI, Anthropic, or open-source models.
- Solid understanding of Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, embeddings, and AI orchestration.
- Expertise in REST APIs, GraphQL, microservices architecture, and service-oriented integration.
- Experience with API management platforms such as Apigee, MuleSoft, Kong, or Azure API Management.
- Strong knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
- Experience with containerisation and orchestration using Docker and Kubernetes.
- Understanding of messaging technologies such as Kafka, RabbitMQ, or Azure Service Bus.
- Familiarity with CI/CD pipelines, DevOps practices, and Infrastructure as Code.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
- Preferred Qualifications
- Experience designing enterprise AI platforms and intelligent automation solutions.
- Knowledge of MLOps,



model lifecycle management, monitoring, and governance.
- Experience with vector databases such as Pinecone, Milvus, Weaviate, or Azure AI Search.
- Exposure to Agentic AI, AI workflow orchestration, and multi-agent systems.
- Familiarity with enterprise architecture frameworks such as TOGAF.
- AI, Cloud, or Solution Architecture certifications are highly desirable.
- Technical Environment
- Python, Java, or C#
- TensorFlow, PyTorch, Scikit-learn
- LangChain, LangGraph, Semantic Kernel, LlamaIndex
- OpenAI, Azure OpenAI, Anthropic, Hugging Face
- Azure AI Services, AWS Bedrock, Google Vertex AI
- REST APIs, GraphQL
- Docker, Kubernetes
- Kafka, RabbitMQ, Azure Service Bus
- Azure DevOps, GitHub Actions, Jenkins
- PostgreSQL, MongoDB, Redis
- Pinecone, Milvus, Weaviate, Azure AI Search
- Soft Skills
- Strategic and systems thinking
- Strong technical leadership
- Excellent communication and presentation skills
- Stakeholder and vendor management
- Collaboration across cross-functional teams
- Innovation and continuous learning
- Decision-making and problem-solving
- Mentoring and coaching
- Education
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, Data Science, or a related field.
- Relevant certifications in AI, Cloud, Solution Architecture, or Enterprise Architecture are preferred.
- What We Offer
- Opportunity to design enterprise-scale AI and integration solutions.
- Exposure to cutting-edge AI technologies, including Generative AI and intelligent automation.
- Collaborative and innovation-focused work environment.
- Learning, certification, and professional development opportunities.
- Competitive compensation and comprehensive benefits.

📌 AI & SOI Architect (India)
🏢 FUNIC TECH PRIVATE
📍 India