Job
Description
We are looking for a visionary and technically adept AI Technical Architect to lead the design, development, and deployment of scalable AI/ML solutions across the enterprise. This role blends deep technical expertise with strategic leadership to deliver innovative, secure, and ethical AI systems. You will work closely with cross-functional teams to architect intelligent platforms that align with organizational goals and drive meaningful business impact. Location: Hyderabad/ Remote Experience: 9+ Years Key Responsibilities Architect and build cloud-native AI/ML platforms using AWS (SageMaker, Bedrock), Azure (ML, OpenAI), or GCP (Vertex AI, BigQuery, LangChain). Lead the end-to-end development of cutting-edge AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, summarization tools, and virtual assistants. Design and implement robust MLOps and LLMOps frameworks to support CI/CD, model versioning, retraining, monitoring, and production observability. Ensure all AI solutions adhere to Responsible AI practices, focusing on explainability, fairness, bias mitigation, auditability, and compliance with regulations (e.g., GDPR, HIPAA). Integrate AI models seamlessly with enterprise data pipelines, APIs, and business applications to support real-time and batch inference workflows. Oversee the full ML lifecycle—from data preparation and feature engineering to model training, tuning, deployment, and monitoring. Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders to ensure alignment with strategic initiatives. Leverage deep learning architectures (CNNs, RNNs, Transformers) to address use cases in NLP, computer vision, and forecasting. Define AI governance frameworks, including audit trails, bias detection protocols, and model transparency mechanisms. Provide mentorship and technical leadership to data scientists and AI engineers. Continuously evaluate new AI technologies, research advancements, and industry best practices to evolve architectural standards and drive innovation. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field. 9+ years of overall software development experience, with at least 3 years in AI/ML architecture or technical leadership. Expertise in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proven experience deploying AI models at scale in production environments. Strong grasp of modern data architectures including data lakes, data warehouses, and ETL/ELT pipelines. Proficient with containerization (Docker), orchestration (Kubernetes), and cloud-based ML platforms (AWS Sagemaker, Azure ML, GCP Vertex AI). Hands-on experience with MLOps tools such as MLflow, Kubeflow, and Airflow. Familiarity with LLMs, prompt engineering, and language model fine-tuning is a plus. Exceptional communication skills with the ability to influence and collaborate across teams. Demonstrated experience mentoring engineers and leading technical initiatives. Candidates with prior experience in Healthcare or Telecom domains will be strongly preferred , especially those who have delivered domain-specific AI solutions aligned to regulatory, operational, or customer engagement needs. Preferred Qualifications Industry certifications in AI/ML or cloud architecture (e.g., AWS Machine Learning Specialty, Google Cloud ML Engineer). Experience with RAG pipelines and vector databases like Pinecone, FAISS, or Weaviate. Deep understanding of ethical AI principles and regulatory compliance requirements. Prior involvement in architectural reviews, technical steering committees, or enterprise-wide AI initiatives. Why Veltris? AI-First Company: Veltris is built on the foundation of AI. We enable clients to build advanced products using the latest technologies including Machine Learning (ML), Deep Learning (DL – CV, NLP), and MLOps. Proprietary AI Framework: We've developed a full-stack AI framework to accelerate clients' ML model development and deployment lifecycle. Explore: Insight.AI NVIDIA Partnership: We are a part of the NVIDIA Partner Network as a Professional Services Partner, delivering solutions powered by NVIDIA’s GPU and software ecosystem. Read more Cutting-Edge Research: We collaborate with academic institutions and research organizations to address complex problems in domains like medical imaging, biopharma, life sciences, legal, retail, and agriculture. Empowered Work Environment: Every team member, including junior engineers, works on impactful features in complex domains, contributing to real-world client success. Culture: Open communication, flat hierarchy, and a strong culture of ownership and innovation. Show more Show less
