Python Consultant Architect

Sopra Steria USA; Dadri; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Sopra Steria USA is seeking an experienced Tech Lead AIML to guide the development and deployment of advanced AI solutions. The role demands strong statistics, ML, DL, multi-agent frameworks, Generative AI and MLOps, with an R&D mindset to drive innovation.

You'll lead architecture, oversee LLM fine-tuning, modular AI workflows using LangChain, LlamaIndex, AutoGen, CrewAI, and deploy scalable, production-ready AI on cloud platforms (AWS, Azure, GCP).

Qualifications

• Strong background in statistics, machine learning, and deep learning.

Responsibilities

• Provide technical leadership and architectural direction for Generative AI applications.

Skills

Python

NLP

LLM ecosystem

LangChain

LlamaIndex

AutoGen

CrewAI

TensorFlow

PyTorch

ML pipelines

Cloud ML workflows

FastAPI

Docker

Kubernetes

MLOps

Leadership

Tools

LangChain

LlamaIndex

AutoGen

CrewAI

FastAPI

Docker

Kubernetes

Apache Airflow

MLflow

DBT

Job description

Company Description

About Sopra Steria

Sopra Steria, a major Tech player in Europe with 51,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2025, the Group generated revenues of €5.6 billion.

The world is how we shape it.

Job Description

We are looking for an experienced Tech Lead AIML for leading the development and deployment of advanced AI solutions. The ideal candidate will have a strong background in statistics, machine learning, deep learning, multi-agent frameworks, Generative AI and MLOps practices. An R&D-driven mindset is crucial for driving innovation and staying ahead in this rapidly evolving field.

Total Experience Expected: 10-14 years

Qualifications

Key Responsibilities

• Provide technical leadership and architectural direction in the design and implementation of advanced Generative AI applications.
• Oversee LLM fine-tuning, optimization, and evaluation strategies to address complex business needs across domains.
• Lead the development and orchestration of modular AI workflows using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, and integrate them into enterprise-grade systems.
• Architect and manage scalable, production-ready AI deployments on cloud platforms (AWS, Azure, GCP), ensuring cost-effectiveness, high availability, and performance.
• Drive the adoption and execution of MLOps and LLMOps best practices, establishing CI/CD pipelines for reliable and automated model deployment and monitoring.
• Oversee end-to-end ML pipeline development using Apache Airflow, MLflow, and DBT, ensuring robustness, scalability, and data integrity.
• Guide the implementation and continual improvement of NER models and other deep learning solutions using TensorFlow and PyTorch.
• Strategically explore and lead the integration of multimodal LLMs and OCR technologies for real-world applications.
• Champion the design and development of robust APIs using FastAPI for scalable model serving.
• Act as a key liaison between technical teams and business stakeholders, translating business needs into AI-driven solutions.
• Mentor and upskill a team of ML/AI engineers, promoting a culture of innovation, collaboration, and continuous learning.
• Stay at the forefront of AI/ML research, evaluate emerging technologies, and guide their adoption within the organization to maintain technical leadership.

Required Skills

• Proven expertise in Python, Natural Language Processing, and LLM ecosystem.
• Deep experience with agentic frameworks (LangChain, AutoGen, CrewAI), fine-tuning LLMs, and building custom distilled models.
• Strong background in ML pipeline architecture, data orchestration, and cloud-native ML workflows.
• Hands-on experience with TensorFlow and PyTorch, particularly for NER and other NLP tasks.
• Working knowledge of multimodal models, OCR systems, and their integration into AI applications.
• Experience in architecting FastAPI-based APIs for high-throughput ML services.
• Familiarity with container orchestration using Docker and Kubernetes in a cloud environment.
• Track record of implementing MLOps/CI-CD best practices and production-grade ML systems.
• Demonstrated leadership in delivering AI solutions at scale, managing cross-functional teams, and influencing technical direction.
• Excellent problem-solving, decision-making, and communication skills.
• Strong mentorship mindset and the ability to grow and inspire high-performing teams.

Additional Information

At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.

All of our positions are open to people with disabilities.