Senior Manager

Description :We are seeking a seasoned AI Architect and Engineering Leader with proven expertise in end-to-end AI solution development, deployment, and architecture across multiple domains.In this dual-capacity role, you will be responsible for driving the AI technology strategy, leading execution, and managing a team of AI engineers and architects.This role blends hands-on Technical Leadership with Strategic Delivery ownership ensuring innovation, scalability and client confidence across a growing portfolio of AI initiatives. It goes beyond building models its about anchoring BOTs AI practice, scaling talent and ensuring enterprise-grade outcomes from design to production.Key Responsibilities :Architecture & Technical Leadership :- Define, design, and validate scalable, secure and high-performance AI architectures aligned with business goals and using AWS Bedrock, SageMaker, Lambda, Step Functions and other AWS-native services.- Drive full-lifecycle AI solutioning data acquisition, feature engineering, model training, evaluation, deployment and monitoring.- Evaluate existing AI and data infrastructure; identify gaps and propose modernization or optimization strategies.- Lead proof-of-concepts and prototyping to assess new algorithms, frameworks and cloud AI services..- Evaluate and integrate LLM orchestration frameworks (LangChain, LangGraph, Strands, AgentCore) for multi-agent and context-aware systems..- Guide MLOps and AIOps pipelines model versioning, retraining, and monitoring using SageMaker, MLflow and custom APIs.- Establish standards, frameworks, and reusable components for AI model deployment, inference and governance.- Champion MLOps best practices CI/CD for ML, model registry, drift detection and automated retraining.- Oversee AI system integration with cloud platforms (AWS, Azure, GCP), APIs and enterprise data systems.- Guide architecture reviews and code quality checks to ensure technical excellence, maintainability and cost efficiency.Management & Team Leadership :- The leader will be both a technical visionary and a cultural steward, ensuring that India is not just an offshore hub, but a strategic extension of Caylent.- As a leader, you will work as an anchor who will build the India Caylent GDC.- Recruit, mentor, and manage a multidisciplinary team of AI engineers, ML scientists, data engineers, and MLOps specialists.- Define team goals, KPIs and career growth paths aligned with organizational strategy.- Allocate resources effectively, manage delivery timelines, and resolve technical dependencies or conflicts.- Foster a culture of innovation, continuous learning and responsible experimentation.- Conduct technical reviews, architecture sign-offs, and delivery governance for all AI engagements.- Build partnerships across Cloud, Data, and Product teams to drive cross-functional collaboration.- Represent the team in leadership forums; report delivery metrics, risks, and roadmap updates.Operational Excellence & Governance :- Define and implement AI governance standards - model lifecycle management, documentation, explainability, and bias mitigation.- Ensure compliance with security and regulatory frameworks (GDPR, HIPAA, SOC2, EU AI Act, etc.) as relevant.- Establish monitoring and observability for AI pipelines - model drift, data quality, latency, and cost.- Drive AI FinOps - monitor compute utilization, optimize GPU/instance costs, and enforce budget accountability.- Implement disaster-recovery and rollback strategies for production AI deployments.- Champion ethical and responsible AI - establish review boards and feedback loops for transparency and fairness.- Set up metrics dashboards (accuracy, precision, inference speed, ROI) to assess solution impact.Stakeholder Engagement & Strategy :- Collaborate with business and product leadership to align AI strategy with organizational objectives.- Serve as the client-facing technical authority in AI engagements ensuring solution alignment and delivery confidence.- Translate complex AI capabilities into clear business outcomes and client-facing value propositions.- Contribute to pre-sales and solutioning for AI projects; contribute to proposals, estimations and architecture reviews.- Serve as the AI thought leader and advisor to global teams, shaping enterprise-wide AI initiatives.- Work with global leadership to evolve AI CoE capabilities frameworks, accelerators and reusable assets.- Continuously evaluate AI industry trends (GenAI platforms, agentic workflows, domain-specific models) and lead internal adoption pilots.Requirements :Qualifications & Skills :- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science or related field.- 8+ years of total experience, with at least 5+ years in AI/ML solution architecture and delivery leadership.- Proven experience leading end-to-end AI projects from design to production at scale.- Deep understanding of machine learning, deep learning and MLOps workflows.- Strong command of Python and modern AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).- Hands-on with cloud-native AI services AWS (Bedrock, SageMaker, Lambda, Step Functions), Azure ML, or GCP Vertex AI.- Experience in microservice-based AI deployment, API design, and serverless or containerized inference (ECS/Fargate/Kubernetes).- Working knowledge of data engineering pipelines, ETL orchestration and vector/feature stores.- Familiarity with LLM and GenAI concepts (prompt engineering, RAG, embeddings) preferred but not mandatory.- Strong understanding of software engineering and architecture principles - design patterns, scalability, fault tolerance and security.- Demonstrated ability to make technical trade-offs and lead delivery under ambiguity.- Excellent communication, people-management, and stakeholder-handling skills.- Certifications: Preferred AWS Certified Machine Learning (Specialty), AWS Solutions Architect (Professional) or equivalent.- Prior consulting or CoE leadership experience in AI/ML is an advantage.Signs You May Be a Great Fit :- Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation.- Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility.- Growth: Access professional development opportunities and mentorship from experienced peers.- Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals. (ref:hirist.tech)