8 Ai Architect Jobs

Qualifications and Requirements: Bachelors or master’s degree in computer science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus. Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation. Streamlit -- Python Generative AI HuggingFace , OpenAi and any Custom Model development experience Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.). In-depth knowledge of machine learning techniques, algorithms, and model evaluation. Familiarity with big data technologies, cloud platforms, and distributed computing. Excellent problem-solving abilities and analytical thinking. Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders. Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.

Skills : AI Architect, CoPilot, OpenAI, Gemini, LLMs, Python, Java, or Scala, cloud platforms, GenAI and artificial intelligence solutions, AI /ML, AIOps

Job Description: Key Responsibilities: 1. Solution Design: Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals. 2. Algorithm Development: Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities. 3. Data Processing: Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models. 4. Model Training and Evaluation: Train and fine-tune machine learning models using large datasets and rigorously evaluate model performance using appropriate metrics. 5. Infrastructure and Tools: Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems. 6. Prototyping and POCs: Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions. 7. Technical Leadership: Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration. 8. Research and Innovation: Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions. 9. Deployment and Integration: Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows. 10. Performance Optimization: Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues. 11. Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments. Qualifications and Requirements: Bachelors or master’s degree in computer science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus. Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation. Streamlit -- Python Generative AI HuggingFace , OpenAi and any Custom Model development experience Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.). In-depth knowledge of machine learning techniques, algorithms, and model evaluation. Familiarity with big data technologies, cloud platforms, and distributed computing. Excellent problem-solving abilities and analytical thinking. Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders. Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.

Level/Seniority: Senior Architect Years of Experience: 15+ years total, 6+ years in AI Responsibilities: • Architect scalable, secure, high-performance GenAI architectures and integrate with enterprise systems. • Lead selection, fine-tuning, and deployment of generative AI frameworks (GPT-4, Llama, Claude, Gemini). • Define data collection, sanitization, and preparation strategies for model training. • Guide innovation through emerging technologies like LangChain, CrewAI, LlamaIndex, Semantic Kernel. • Provide thought leadership and mentorship to technical teams and stakeholders. • Ensure ethical and responsible AI deployment, compliance with data privacy and AI governance. Required Skills: • Advanced Python, Apache Spark. • Expert in LLMs (OpenAI GPT, Claude, Gemini, Llama) and transformer models. • Containerization: Kubernetes, Docker. • Cloud platforms: Azure/AWS/GCP, Azure DevOps, CI/CD pipelines. • Strong in LLMOps and model deployment tools. • Exceptional leadership, communication, strategic thinking. Nice to Have: • Experience with Datadog, Splunk. • Relevant certifications in solution architecture. Education: • BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA

We are recruiting for 100+ AI/ ML/ Data Science/ NLP SM/ Managers/ Architects and engineers for our Client which is a Fortune 500 IT MNC for Hyederabad, Bangalore, Mumbai, Pune, Chennai, Pune, Kolkata, Gurgaon, Jaipur etc. Exp. 4 to 20 yrs.

Job Title: AI Architect Experience: 8-12 years (AD or Senior Manager) Employment Type: Contract to Hire Duration: 6 months Location: Hyderabad Hybrid (3 days per week) Job Description: We are looking for an experienced AI Architect with a strong background in influencing AI strategy and architecting AI platforms for banking clients. The ideal candidate will be responsible for designing and implementing AI-driven solutions that align with business objectives. This role requires deep expertise in AI frameworks, model deployment strategies, and MLOps methodologies. The AI Architect will work closely with stakeholders to ensure the successful adoption of AI technologies within the organization. Key Responsibilities: • Determine which classes of AI can be used for client use cases provided by the business (e.g., supervisory/reinforced learning, LLM models). Define architecture for ML Ops platforms, including model management and model deployment. Work on either custom or GCP ML orchestration platforms for building, managing, and deploying AI models. Requirements: Strong experience in AI strategy and AI platform architecture for banking clients. Expertise in determining appropriate AI models for business use cases. Proven ability to define and manage ML Ops platforms, including model deployment. Hands-on experience with custom or GCP ML orchestration platforms.

Role & responsibilities AI Architect A Key Responsibilities: 1. Solution Design: Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals. 2. Algorithm Development: Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities. 3. Data Processing: Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models. 4. Model Training and Evaluation: Train and fine-tune machine learning models using large datasets, and rigorously evaluate model performance using appropriate metrics. 5. Infrastructure and Tools: Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems. 6. Prototyping and POCs: Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions. 7. Technical Leadership: Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration. 8. Research and Innovation: Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions. 9. Deployment and Integration: Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows. 10. Performance Optimization: Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues. 11. Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments. Qualifications and Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus. Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation. Streamlit -- Python Generative AI HuggingFace , OpenAi and any Custom Model development experience Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.). In-depth knowledge of machine learning techniques, algorithms, and model evaluation. Familiarity with big data technologies, cloud platforms, and distributed computing. Excellent problem-solving abilities and analytical thinking. Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders. Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.

Job Title: SaaS AI Architect Location: Chennai Experience: 5 to 8+ Years Industry: IT Services / Software Product Department: Engineering / Product Development Employment Type: Full Time, Permanent About Anubavam Anubavam is a global software innovation company with over 15 years of experience delivering scalable digital solutions to clients in more than 25 countries. Our mission is to transform education and enterprise experiences through cutting-edge technology. Our flagship product, Creatrix Campus , is an AI-powered SaaS platform that enables end-to-end student lifecycle management for higher education institutions. About Creatrix Campus Creatrix Campus is a next-generation SaaS platform built specifically for higher education institutions. With a growing customer base across the USA, UAE, Malaysia, and other regions, Creatrix simplifies academic operations through AI, automation, and low-code configurability. The platform is designed to be modular, scalable, and performance-oriented. We are rapidly expanding and fostering an architecture-driven engineering culture. Role Overview We are seeking an experienced SaaS AI Architect to lead the architectural modernization of our core platform, transition monolithic components into microservices, and design AI-ready backend systems. The ideal candidate will have strong hands-on experience in Python development, a product-oriented mindset, and the ability to collaborate across functional teams to deliver enterprise-grade software. Key Responsibilities Lead the transition from legacy PHP monoliths to scalable Python-based microservices. Design and implement API-first, modular, and cloud-native backend components. Build backend engines to support schema-driven UI, dynamic workflows, and metadata-based configurations. Drive configurability and extensibility for low-code/no-code development needs. Integrate AI/ML APIs including OCR, NLP, recommendation engines, and LLMs such as OpenAI. Ensure AI services are modular, efficient, and scalable for production use. Implement and manage CI/CD pipelines, Docker containers, and Git-based workflows. Optimize backend performance, system reliability, and scalability across environments. Work closely with Product Managers, QA teams, UI/UX designers, and global delivery teams to ensure timely and high-quality releases. Contribute to technical documentation and mentoring of engineering teams. Must-Have Skills and Experience 5 to 8 years of backend engineering experience, with a strong focus on Python (FastAPI or Django). Expertise in microservices architecture, RESTful APIs, Docker, and Git. Experience in modernizing legacy PHP systems to Python. Practical exposure to AI/ML APIs (OCR, NLP, LLMs) and their integration into backend systems. Experience in building metadata-driven or configurable engines (e.g., dynamic forms, workflow builders). Strong understanding of API security, authentication, rate limiting, and secure data handling. Preferred Qualifications Prior experience working with Higher Education systems such as SIS, LMS, or accreditation tools. Familiarity with low-code/no-code platforms (e.g., n8n, Camunda). Experience working in fast-paced SaaS environments with Agile methodologies. Knowledge of PostgreSQL, Redis, GraphQL, and event-driven architectures. Why Join Anubavam Technologies! We believe in creating a workplace that is engaging, rewarding, and growth-focused. Heres what you can expect: Competitive compensation based on experience and market standards Flexible work hours and hybrid work options Health insurance coverage for employees and dependents Annual performance bonuses and recognition programs Learning and development allowance to support certifications and upskilling Clear career paths and growth into senior platform or SRE roles Positive, inclusive team culture focused on collaboration, innovation, and shared success Opportunities to work on global SaaS products used by top universities worldwide A chance to make a real impact by supporting the digital transformation of education How to Apply Interested candidates may send their resumes to Pothis.karan@anubavam.com