Et - senior solution architect
1 week ago
Qualification: Bachelor of Technology/ Engineering Experience: >11 Years Skills: Python Programming Secondary Skills: Amazon Bedrock Google Vertex AI Continuous Testing TypeScript No. of positions: 1 Pay Range Minimum: $180000 Pay Range Maximum: $225000 AI Systems Architect A AI Systems Architect plays a critical role in designing and overseeing the end-to-end architecture of AI-driven systems. This role blends deep technical expertise in AI/ML with strong systems design, software engineering, and cloud infrastructure knowledge. Below are the key skills grouped by category: AI/ML Fundamentals Machine learning algorithms (supervised, unsupervised, reinforcement learning) Deep learning (CNNs, RNNs, Transformers) Generative AI (LLMs, GANs, diffusion models) Model Engineering Model selection, training, fine-tuning, evaluation Prompt engineering & retrieval-augmented generation (RAG) Knowledge of popular frameworks (TensorFlow, PyTorch, Hugging Face, LangChain) System Design End-to-end architecture for scalable AI systems Real-time inference and batch processing pipelines Data flow and orchestration (e.g., using Apache Airflow, Kubeflow) Data Engineering Data ingestion, preprocessing, and transformation Data lakes and warehouses (Delta Lake, Snowflake, BigQuery) Feature engineering pipelines Software Engineering Microservices and API design Python, Java, or Scala proficiency CI/CD pipelines (GitHub Actions, Jenkins, etc.) Cloud & Infrastructure Cloud AI platforms (AWS Sagemaker, Azure ML, Google Vertex AI) Kubernetes, Docker, and ML model deployment at scale Monitoring and observability tools (Prometheus, Grafana, MLFlow) Key Responsibilities To assess the domain IT landscape assessment and Application portfolio optimization for gap analysis Creation of solution and architectural views (logical| conceptual| development| execution| infrastructure & operations architecture) To study and define system requirements addressing stakeholder| portfolio concerns To ensure knowledge up-gradation and work with new and emerging products/technologies To manage Non Functional Requirement adaption for the solution To contribute towards white/technical papers and knowledge base Compensation and Benefits A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. Disclaimer HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation. #J-18808-Ljbffr
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