CrawlJobs Logo

Agentic AI Engineering Lead

India, Hyderabad · Job Posted January 25, 2026
Apply Position
Job Link Share

Job Description

The Senior Manager, Development Engineering at NTT DATA is a pivotal role responsible for leading high-performance software development teams. This position requires extensive experience in Agile methodologies, project management, and team leadership. A bachelor’s degree in a relevant field is essential, along with certifications like PMP and CSM. The role emphasizes collaboration, innovation, and continuous improvement in a hybrid working environment.

Job Responsibility

  • Participates in hands-on software development activities as needed, contributing to the development of critical features and modules
  • Organises, delegates, and oversees all development engineering tasks and deliverables
  • Allocates resources effectively to support development projects and optimize team productivity
  • Implements and oversees quality assurance processes, including code reviews, testing, and debugging
  • Ensures the implementation of Agile development methodologies, such as Scrum or Kanban, to enhance development efficiency and flexibility
  • Keeps abreast of the latest industry trends, technologies, and best practices to drive continuous improvement and innovation
  • Collaborates with cross-functional teams, including product management, design, and operations, to ensure seamless integration of IT solutions
  • Identifies and manages potential risks and challenges in development projects and proactively implements risk mitigation strategies
  • Escalates any potential risks and challenges and risk mitigation strategies to senior leadership
  • Champions a culture of continuous improvement within the development team, encouraging feedback, and implements process enhancements
  • Verifies software development solutions/results with potential consumers and collaboratively decide on the best option/approach
  • Communicates and collaborates with relevant stakeholders, including relevant vendors as required
  • Participates in relevant technical decision making and solution development
  • Manages the maintenance and creation of all technical documentation as well as project roadmaps
  • Recommends project and programme budgets related to any development engineering activities
  • Provides technical expertise for products in development, new or improvement of existing
  • Reviews the research that others have done and what outcomes they have achieved to inform decision making process to decide direction to take
  • Understands markets, trends, and market analysis to appropriately decide what research needs to be developed
  • Manages innovation and development through strong technical market awareness
  • Inspires team members to perform at their best by recognizing their contributions, providing support, and fostering a positive work environment
  • Supports the growth and development of team members through coaching, mentoring, and provide opportunities for learning and skill enhancement

Requirements

  • Possesses extended communication with excellent decision-making abilities
  • Ability to provide leadership and management of technical personnel, delegating work assignments, matching responsibility to the person and giving authority to work independently
  • Ability to facilitate presentation of technical and complex matters to a diverse audience
  • Ability to analyze data and produce reports on issues and recommend resolutions
  • Ability to evaluate risks, priorities and business benefits, leveraging strong business knowledge
  • Ability to coordinate team activities and operationally plan and manage deliverables
  • Solid attention to detail with the ability to work independently
  • Ability to multi-task, set priorities and meet deadlines
  • Ability to keep current with trends, client insights, and competitive strategies
  • Required significant independent, analytical and creative work efforts regarding procedures, planning and follow-up
  • Extended understanding of markets, trends and market analysis to appropriately decide what research needs to be developed
  • Extended knowledge of Agile development practices and principles
  • Ability to adapt to a fast-paced, dynamic, and evolving IT industry
  • Extended knowledge of software development methodologies, tools, and technologies
  • Extended proficiency in various programming languages and software development frameworks
  • Bachelor’s degree or equivalent in Information Systems, Computer Science, Engineering, Technical Management or Business Administration or related field
  • Relevant project management/agile certifications (for example, PMP, CSM, PSPO, POPM) are advantageous
  • Extended demonstrated experience building, managing and leading high performance software development, engineering and/or architecture teams
  • Extended demonstrated experience of delivering large software projects, utilizing Agile methodology
  • Extended demonstrated experience in new product introduction, reworking design changes and upgrades through to production
  • Extended experience of IT in a complex business environment with the ability to translate technical concepts into business terms
  • Extended demonstrated experience in coaching and training facilitation
  • Proven working experience in a large-scale organization
  • Extended demonstrated experience of negotiation or management of vendors and third-party service providers
  • Proven track record in accomplishing individual and team goals
  • Extended demonstrated experience working in a team-oriented, collaborative environment

Nice to have

Relevant project management/agile certifications (for example, PMP, CSM, PSPO, POPM) are advantageous

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Agentic AI Engineering Lead

8 matching positions

Engineering Lead, AI Application Engineering

Ema is on a mission to redefine the future of work by building a Universal AI Em...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
ema.co Logo
Ema
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years in software/solutions architecture, including 3+ years with LLM or event-driven systems
  • Expert in Python, REST/JSON APIs, and cloud infrastructure (GCP, AWS, or Azure)
  • Proven record deploying AI systems in enterprise environments
  • Familiarity with agent frameworks like LangChain, Semantic Kernel, or similar
  • Experience integrating SaaS platforms like CRM, ATS, ERP
  • Strong understanding of RBAC, SSO (Okta/AD), and security standards
  • Outstanding communication and executive presence in high-stakes environments
Job Responsibility
Job Responsibility
  • Workflow Discovery & Solution Design: Lead discovery workshops to understand human workflows, pain points, data flows, and integration needs. Translate business objectives into AI architecture blueprints covering integration, data, security, and success metrics. Author and maintain “AI-Employee” design documents to guide implementation from blueprint to SLOs
  • Data Integration & Action Building: Use declarative connectors and APIs to ingest, normalize, and secure data from enterprise systems (CRM, ERP, ATS, etc.). Build and maintain reusable action blocks using REST/SOAP/RPA and integrate them into agent-based workflows
  • Agentic Reasoning & Prompt Engineering: Design and compose reasoning agents using modern frameworks (e.g., LangChain, Semantic Kernel). Tune prompts, set up memory management, and define mesh topologies to ensure robust agentic reasoning. Own prompt evaluation, experiment design (A/A, A/B), and rollback strategies
  • Human-AI Interaction: Define and implement user interaction flows by integrating with Slack, Microsoft Teams, widgets, or customer-facing apps. Ensure seamless handoff between automated and human-in-the-loop experiences
  • Monitoring, Metrics & Observability: Define success metrics, KPIs, and SLOs
  • wire them into dashboards, alerts, and observability systems. Steward observability packs, including Terraform/Helm configurations and alerting strategies
  • Security, Identity & Permissions: Enforce zero-trust identity patterns including SSO (Okta/AD) and RBAC. Own auditing, access control, and compliance posture across deployments
  • Collaboration & Continuous Improvement: Lead technical, architectural, and security reviews with internal teams and customer stakeholders. Partner with CVEs and system integrators to unblock issues and ensure deployment success. Monitor production system health and performance, lead continuous-improvement sprints, and codify learnings into reusable playbooks and runbooks. Maintain registries of versioned prompts, connectors, and action templates to support scale and reuse. Channel field insights to Product and ML teams to refine roadmap and platform capabilities
  • Fulltime
Read More
Arrow Right

AI Engineering Tech Lead - AI Foundations

monday.com is seeking an experienced, versatile AI Engineering Tech Lead to join...
Location
Location
Israel , Tel-Aviv
Salary
Salary:
Not provided
monday.com Logo
monday.com
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong technical skills and a passion for developing features end-to-end (client and server)
  • 5+ years in Software Engineering roles
  • Strong experience building and owning production-grade, full-stack systems
  • Proven ability to design scalable systems and make sound architectural tradeoffs
  • Hands-on experience building or integrating AI agents and workflows
  • Comfort operating in ambiguous problem spaces with high business impact
  • Strong collaboration and communication skills when working with cross-functional teams
  • High ownership, accountability, and engineering standards
  • Degree in Computer Science (not a must
  • we're always looking for super talented people)
Job Responsibility
Job Responsibility
  • Design and develop scalable AI infrastructure that supports various AI products
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems
  • Tackle complex engineering challenges and contribute to the evolution of our AI capabilities
  • Mentor junior engineers and share best practices to foster a culture of continuous learning
  • Designing, building, and owning systems that transform customer and business data into actionable insights
  • Building full-stack products and platforms that teams rely on for decision-making
  • Owning systems from data ingestion to user-facing experiences
  • Fulltime
Read More
Arrow Right

Senior Lead AI Research Scientist – Foundation Models & Agentic AI

Wells Fargo’s Model Risk Management (MRM) team is seeking a Senior Lead Quantita...
Location
Location
United States , Charlotte
Salary
Salary:
185000.00 - 300000.00 USD / Year
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
June 28, 2026
Flip Icon
Requirements
Requirements
  • 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Job Responsibility
Job Responsibility
  • Lead end-to-end research projects in Agentic AI / AI / Generative AI / Machine Learning from ideation, research, experimentation, implementation, evaluation, transfer and documentation
  • Contribute and lead building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations
  • Lead the deployment of foundation models, LLMs, and agentic AI systems into production, with a strong understanding of deployment trade-offs
  • Drive the exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges
  • Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts
  • Translate research insights into impactful business solutions, open-source contributions, patents, and publications
  • Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community
What we offer
What we offer
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Fulltime
!
Read More
Arrow Right

Lead Agentic Ai Engineer

Citi's Wholesale Technology organization is seeking an exceptional, hands-on Lea...
Location
Location
Canada , Mississauga
Salary
Salary:
120800.00 - 170800.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6–10 years of relevant experience in an AI/ML development role, Applications Development, or Systems Analysis, with a substantial and demonstrated focus on Python technologies
  • Minimum 2+ years of professional experience in software development with a focus on AI, prompt engineering, machine learning, and/or agentic AI systems
  • Proven track record as a lead developer for agentic flow design, prompt design, and testing of autonomous AI systems with deep expertise in Google ADK
  • Subject Matter Expert (SME) in at least one area of Applications Development, particularly Python application development (Django, Flask, FastAPI)
  • Python (expert-level): FastAPI, Django, Flask, asyncio, PySpark — strong fundamentals in algorithms, data structures, concurrency, and design patterns
  • Proficient in Java (Spring Boot, Spring Cloud), JavaScript/TypeScript (React, Next.js, Node.js), and SQL/data modeling
  • Experience across AWS, Azure, and GCP with Docker, Kubernetes, and CI/CD pipelines
  • Proficient in MLOps practices including model versioning, deployment, and lifecycle management
  • Strong foundation in secure API design, microservices, event-driven architecture, and distributed systems with expertise in testing, Git workflows, and performance optimization
  • Deep expertise in LLMs (OpenAI GPT, Gemini, Claude, Llama) with hands-on experience in LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, and Google ADK
Job Responsibility
Job Responsibility
  • Lead end-to-end design, development, and deployment of large-scale agentic AI solutions using Google Agent Development Kit (ADK) and frameworks such as LangChain, LangGraph
  • Architect advanced multi-agent systems (perception, reasoning, planning, execution) integrating multiple LLM providers (OpenAI, Anthropic, Google Gemini)
  • Build AI-powered capabilities using Google Gemini, Vertex AI, Agent Development Kit (ADK), Google A2UI, vector databases, RAG pipelines, semantic search, and advanced prompt and context management
  • Engineer autonomous agents incorporating planning, tool usage, memory management, and multi-step reasoning patterns
  • Develop scalable, high-performance backend services in Python (FastAPI, asyncio) with resilient APIs, event-driven designs, and microservices architectures
  • Build and maintain robust data pipelines working with SQL (Oracle, PostgreSQL) and NoSQL (MongoDB) databases
  • Implement secure REST APIs and agent interfaces with strong authentication, authorization (OAuth), and encryption best practices
  • Optimize AI agent performance, latency, and cost through prompt optimization, caching strategies, and vector index tuning
  • Provide architectural guidance for Next-Generation AI (NGAI) initiatives, ensuring adherence to CTO guidelines and platform standards
  • Develop and maintain a strategic roadmap for generative AI adoption, evaluating new models, techniques, and platforms
  • Fulltime
Read More
Arrow Right

Rag + Agentic Ai Lead

We are looking for a highly skilled RAG + LLM-based Agentic AI Engineer to build...
Location
Location
Salary
Salary:
Not provided
Codvo AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ Years
  • RAG Engineering
  • Agentic AI
  • Vector & Search
  • LLM Ops
  • Backend & Infra
  • Data Engineering
  • Security & Governance
Job Responsibility
Job Responsibility
  • Build end-to-end RAG pipelines: smart chunking, hybrid retrieval, reranking, query rewriting
  • Implement LangGraph-based agentic workflows with tools, planning, and self-healing behaviors
  • Develop and optimize vector search systems (Qdrant/Weaviate/OpenSearch)
  • Design multi-tenant, ontology-driven knowledge layers for enterprise data
  • Implement guardrails, hallucination reduction, and automated evals
  • Build and maintain document ingestion pipelines (PDF, DOCX, OCR, images)
  • Architect and deploy FastAPI-based AI microservices with caching and async execution
  • Integrate LLM systems with enterprise apps (SharePoint, CRM, databases, MCP tools)
  • Ensure security, PII safety, auditability, and governance requirements are met
  • Collaborate with solution architects and domain SMEs to translate use cases into working AI systems
What we offer
What we offer
  • Work on cutting-edge agentic AI systems at production scale
  • Ownership over enterprise-grade architectures
  • Fast growth environment
  • Influence Codvo’s platform and accelerators
  • Fulltime
Read More
Arrow Right

Lead Agentic AI & Java Integration Engineer

We are currently seeking a Lead Agentic AI & Java Integration Engineer to join o...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of progressive software engineering experience, with a core foundation in enterprise Java and Spring Boot
  • Deep, hands-on expertise in Agentic AI frameworks (LangChain, LangGraph) and prompt engineering (structured outputs, function/tool calling)
  • Proven experience building and scaling RAG pipelines and working intimately with Vector Databases
  • Extensive experience implementing AI evaluation frameworks (e.g., DeepEval) and LLM observability metrics
  • Strong background in distributed systems, event-driven architectures, and building resilient API ecosystems
  • Demonstrated ability to translate highly ambiguous, complex business problems into secure, reliable, and compliant production-ready systems
Job Responsibility
Job Responsibility
  • Agentic System Orchestration: Design and orchestrate sophisticated AI agents using LangChain and LangGraph. Manage complex control flows, tool calling, memory management, and multi-step reasoning workflows
  • Enterprise RAG & Search: Architect robust GenAI patterns, including Retrieval-Augmented Generation (RAG), semantic search, vector database integration, and end-to-end embeddings lifecycle management
  • Java/Spring Boot Integration: Seamlessly integrate GenAI capabilities and agent workflows into large-scale, distributed, event-driven enterprise applications built on Java, Spring Boot, and microservices architectures
  • AI Guardrails & Security: Engineer robust enterprise guardrails encompassing prompt injection defenses, data privacy filters, safety constraints, explainability, and Human-in-the-Loop (HITL) approval flows
  • Evaluation & Operationalization: Define and automate rigorous GenAI evaluation pipelines using frameworks like DeepEval. Continuously monitor models for accuracy, contextual relevance, hallucinations, conceptual drift, latency, and operational cost
  • Technical Leadership & Mentorship: Serve as the domain expert for GenAI engineering standards. Mentor development teams on architectural decision-making, specifically determining when to utilize agent-based systems versus conventional deterministic services
Read More
Arrow Right

Lead Agentic AI & Java Integration Engineer

We are currently seeking a Lead Agentic AI & Java Integration Engineer to join o...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of progressive software engineering experience, with a core foundation in enterprise Java and Spring Boot
  • Deep, hands-on expertise in Agentic AI frameworks (LangChain, LangGraph) and prompt engineering (structured outputs, function/tool calling)
  • Proven experience building and scaling RAG pipelines and working intimately with Vector Databases
  • Extensive experience implementing AI evaluation frameworks (e.g., DeepEval) and LLM observability metrics
  • Strong background in distributed systems, event-driven architectures, and building resilient API ecosystems
  • Demonstrated ability to translate highly ambiguous, complex business problems into secure, reliable, and compliant production-ready systems
Job Responsibility
Job Responsibility
  • Agentic System Orchestration: Design and orchestrate sophisticated AI agents using LangChain and LangGraph. Manage complex control flows, tool calling, memory management, and multi-step reasoning workflows
  • Enterprise RAG & Search: Architect robust GenAI patterns, including Retrieval-Augmented Generation (RAG), semantic search, vector database integration, and end-to-end embeddings lifecycle management
  • Java/Spring Boot Integration: Seamlessly integrate GenAI capabilities and agent workflows into large-scale, distributed, event-driven enterprise applications built on Java, Spring Boot, and microservices architectures
  • AI Guardrails & Security: Engineer robust enterprise guardrails encompassing prompt injection defenses, data privacy filters, safety constraints, explainability, and Human-in-the-Loop (HITL) approval flows
  • Evaluation & Operationalization: Define and automate rigorous GenAI evaluation pipelines using frameworks like DeepEval. Continuously monitor models for accuracy, contextual relevance, hallucinations, conceptual drift, latency, and operational cost
  • Technical Leadership & Mentorship: Serve as the domain expert for GenAI engineering standards. Mentor development teams on architectural decision-making, specifically determining when to utilize agent-based systems versus conventional deterministic services
Read More
Arrow Right

Ai Engineering Lead

At Aden, artificial intelligence is not just a feature; it is the core driver of...
Location
Location
United States , San Francisco
Salary
Salary:
250000.00 - 350000.00 USD / Year
helpcare.ai Logo
Helpcare AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of software engineering experience, with at least 2 years dedicated to deploying machine learning models, LLMs, or complex AI systems in production environments
  • Expert-level proficiency in Python
  • Deep understanding of ML frameworks (PyTorch, TensorFlow) and LLM orchestration tools (LangChain, LlamaIndex, or proprietary/custom frameworks)
  • Strong background in distributed systems, vector databases (Pinecone, Weaviate, Milvus), and cloud infrastructure (AWS/GCP)
  • Solid grasp of transformer architectures, fine-tuning methodologies (LoRA, QLoRA), and prompting strategies for complex reasoning tasks
  • A relentless focus on security, accuracy, and edge-case handling
Job Responsibility
Job Responsibility
  • Model Deployment & Optimization: Design, deploy, and maintain state-of-the-art foundation models and custom-trained AI systems within a high-throughput, low-latency B2B enterprise environment
  • Agentic Framework Development: Architect and implement robust, multi-agent workflows capable of handling complex operations, from risk assessment and fraud detection to automated reconciliation and dynamic routing
  • RAG & Data Pipelines: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that ingest, vectorize, and retrieve massive volumes of structured and unstructured data
  • Evaluation & Alignment: Develop rigorous, automated testing frameworks to evaluate model performance, specifically focusing on hallucination reduction, mathematical accuracy, and strict adherence to compliance standards
  • Infrastructure Integration: Work closely with backend engineers to integrate AI services seamlessly into our core Rust/Go/Python-based APIs
  • Continuous Improvement: Stay at the absolute bleeding edge of AI research
What we offer
What we offer
  • Competitive salary and substantial equity package
  • Comprehensive health, dental, and vision insurance
  • The opportunity to build the underlying architecture for the AI economy from the ground up
  • Flexible, remote-friendly work culture with regular team offsites
  • Fulltime
Read More
Arrow Right