AI ML Technical Manager

Rialtic; Hyderabad; Hybrid; INR 4,200,000 - 6,000,000; Full time

Job summary

Rialtic is seeking an AI Technical Manager in Hyderabad, Telangana, with 12–14 years of experience and strong hands-on expertise in AI/ML software delivery. You will lead a team of engineers, collaborate with onshore stakeholders, and drive delivery excellence across offshore groups building AI-enabled products and platforms.

The ideal candidate is a hands-on technical manager, a clear communicator, and a proactive driver who owns outcomes and delivers results in a fast-paced environment.

Qualifications

• 12–14 years of engineering experience.
• Hands-on background in Python, AI/ML, or data engineering.
• Experience in global onshore-offshore delivery models.
• Understanding of Python and AI/ML concepts.
• Familiarity with cloud platforms (AWS/Azure) and modern architectures.
• Knowledge of GenAI/LLM concepts and MLOps tooling.
• Excellent communication and execution skills.
• Ability to handle ambiguity and fast-moving programs.

Responsibilities

• Provide technical direction on AI/ML solutions, cloud-native architectures, APIs, and SDLC practices.
• Lead end-to-end AI-based software delivery across design, development, deployment, and optimization.
• Guide adoption of AI capabilities (ML models, GenAI, RAG) in engineering solutions.
• Oversee MLOps, CI/CD, model monitoring, and retraining workflows.
• Stay current with AI tools (LangChain, Hugging Face) and improve delivery quality and speed.
• Design and build AI Agents and agentic AI workflows with safe guardrails.
• Ensure scalable, observable ML systems with proper governance and safety controls.
• Own delivery outcomes, including planning, risks, quality, and timelines.
• Bridge onshore/offshore stakeholders to ensure alignment and execution.

Skills

Python

AI/ML

Data engineering

Communication

Delivery management

Global delivery

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Tools

MLflow

SageMaker

LangChain

Hugging Face

LangGraph

CrewAI

AutoGen

Job description

Job Description for Ai Technical Manager

Job Title

AI Technical Manager

Experience 12–14 Years

Location Hyderabad, Telangana, India

Work Mode Hybrid

Employment Type Full-Time

We are looking for an AI Technology Manager with 12–14 years of experience and strong hands‑on exposure to AI/ML-based software delivery. This individual will lead a team of engineers, work closely with onshore stakeholders, and drive delivery excellence across offshore teams building AI‑enabled products and platforms.

The ideal candidate is a hands‑on technical manager, an effective communicator, and a proactive go‑getter who takes ownership, drives clarity, and delivers results in a fast‑paced environment.

Key Responsibilities

Technical Guidance & AI-Based Delivery

• Provide technical direction to the team on AI/ML solutions, cloud‑native architectures, APIs, and modern SDLC practices.
• Lead end-to-end AI-based software delivery — covering design, development, integration, deployment, and ongoing optimization.
• Guide the team on adoption of AI capabilities (ML models, GenAI, RAG pipelines, intelligent automation) in engineering solutions where applicable.
• Oversee MLOps practices including CI/CD pipelines for ML models, model monitoring, and retraining workflows.
• Stay current with AI/ML tools and frameworks (LangChain, Hugging Face, vector databases) and recommend improvements to delivery quality and speed.
• Guide the team on designing and building AI Agents and Agentic AI workflows — including autonomous task execution, multi‑agent orchestration, tool‑use patterns, and human‑in‑the‑loop architectures.
• Guide the implementation of agentic frameworks (e.g., LangGraph, CrewAI, AutoGen, custom agent pipelines) for automating complex, multi‑step business processes.
• Ensure agentic solutions are built with appropriate guardrails — error handling, fallback strategies, observability, and safety controls for autonomous decision‑making.
• Lead and manage a cross‑functional engineering team of engineers delivering AI‑enabled and data‑driven solutions.
• Own delivery outcomes including planning, execution, risk management, quality, and timelines.
• Act as a bridge between onshore business/technology stakeholders and offshore delivery teams, ensuring alignment, transparency, and execution.
• Translate business requirements into clear technical designs and execution plans.
• Proactively identify risks, dependencies, and bottlenecks; escalation with solutions, not just problems.
• Review architecture, code quality, and engineering best practices; ensure scalable and maintainable solutions.
• Guide the team on cloud‑native architectures (AWS/Azure/GCP), microservices, APIs, and event‑driven systems.
• Ensure observability and monitoring for ML systems in production — model performance, latency, and data quality.
• Highly proactive and execution‑driven; takes ownership and pushes work forward without waiting for direction.
• Comfortable challenging the status quo constructively and driving decisions.
• Collaborative, transparent, and solution‑oriented.

Required Qualifications

• 12–14 years of overall engineering experience, with 4–6 years in an Engineering Manager / Technical Manager role.
• Strong hands‑on background in software engineering with exposure to Python, AI/ML, or data engineering.
• Experience working in a global onshore‑offshore delivery model.
• Solid understanding of Python and AI/ML concepts.
• Solid understanding of cloud platforms (preferably AWS/Azure) and modern application architectures (microservices, APIs, event‑driven systems).
• Working knowledge of GenAI/LLM concepts (RAG, prompt engineering, fine‑tuning, vector databases), AI Agents and agentic architecture patterns (multi‑agent systems, tool‑use, orchestration), and MLOps tooling (MLflow, SageMaker, or equivalent).
• Excellent communication skills — able to clearly articulate technical and delivery topics to business and leadership audiences.
• Strong execution mindset with the ability to drive outcomes independently.
• Proven experience handling ambiguity, competing priorities, and fast‑moving programs.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, Statistics, Mathematics, or a related quantitative field.
• Experience delivering AI/ML or GenAI solutions in enterprise environments.
• Hands‑on experience with LLM frameworks (OpenAI API, Hugging Face, LangChain) and vector databases (Pinecone, Weaviate, FAISS).
• Familiarity with model governance, responsible AI practices, and compliance frameworks.
• Experience with agentic AI frameworks (LangGraph, CrewAI, AutoGen, or custom agent pipelines) and designing autonomous multi‑step workflows with appropriate safety and observability controls.
• Healthcare domain exposure is an added advantage.