Chief Technology Strategist

2 days ago

Hyderabad, Telangana, India beBeeEnterprise Full time ₹ 1,68,00,000 - ₹ 2,24,00,000
Key Enterprise Leader

This is a pivotal role that requires strategic vision and technical expertise. As an enterprise architect, you will be responsible for defining the overall technology roadmap, encompassing both backend platforms and frontend frameworks.

You will translate business objectives into a multi-year technology strategy, ensuring seamless alignment across all layers and future-proofing our solutions.

Core Responsibilities:
  • Develop a comprehensive three-year blueprint covering cloud, data, integration, AI/ML, and agentic-AI agents
  • Establish an AI & Agentic Architecture Council to drive adoption of generative AI, conversational agents, and MLOps standards
Extended Expertise:
  • Elevate the canonical reference architecture to include AI/ML pipelines, feature stores, inference-at-the-edge, and autonomous agent orchestration
  • Design cloud-native AI/agentic services and hybrid inference runtimes
  • Author AI governance policies and standards for data privacy, model validation, versioning, rollback strategies, and agent safety guardrails
Essential Skills & Qualifications:
  • Backend: Java (JEE, Spring Boot), .NET Core/Framework, Python (Django, Flask, FastAPI)
  • Frontend & Full-Stack: React, Angular, Vue.js, Node.js/Express, Next.js/Nuxt.js
  • APIs & Microservices: REST, gRPC, GraphQL, serverless functions (AWS Lambda, Azure Functions)
  • Streaming & Real-Time Data: Apache Kafka (Streams, Connect), Pulsar, Spark/Flink, event sourcing/CQRS
  • Cloud & AI Platforms: AWS (SageMaker, Lambda, ECS/EKS), Azure (ML, Functions, AKS), GCP (Vertex AI, Cloud Functions), Terraform, CloudFormation, Azure ARM
  • Containers & Orchestration: Docker, Kubernetes (EKS/AKS/GKE), Helm, service meshes (Istio, Linkerd)
  • Data Engineering & Feature Stores: Spark, Flink, Kinesis, S3/HDFS; data warehousing (Redshift, BigQuery, Snowflake); feature stores (Feast, Tecton)
  • AI/ML & Agentic Lifecycle: TensorFlow, PyTorch, MLflow, Kubeflow, SageMaker Pipelines; conversational-AI frameworks (Rasa, Bot Framework); agentic frameworks (LangChain, AutoGen)
  • Responsible AI & Ethics: Bias detection, explainability (SHAP, LIME), privacy-preserving ML (DP, federated learning), GDPR/PCI-DSS fundamentals
  • Distributed Systems & Performance: CAP theorem, consensus (Raft/Paxos), JVM/CLR/Python tuning, algorithmic complexity analysis, network diagnostics
  • GTM & Presales: Hands-on experience with technical presales, RFP/RFI responses, demo/PITCH deck creation, ROI analysis, competitive positioning
  • Leadership & Collaboration: Architecture governance, technical mentorship, stakeholder management, workshop facilitation, cross-functional team leadership
PREFERRED ATTRIBUTES:
  • Domain expertise in regulated industries (finance, healthcare, telecommunications)
  • Active open-source contributions to AI/agentic or frontend/backend frameworks
  • Proven track record driving agile transformations, DevSecOps, and responsible AI adoption at scale

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