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AI Architect

AI Architect

VeltrisGhaziabad, IN
23 days ago
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.
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    Ai Architect • Ghaziabad, IN