Senior Principal Consultant - AI / ML Solution Architect

Ready to build the future with AI? 
At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. 
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. 
Inviting applications for the role of Senior Principal Consultant-AI / ML Solution Architect
We are looking for a hands-on AI/ML Solution Architect who can design, build, and scale real-world AI systems—not just prototype models or create high-level diagrams. This role sits at the intersection of business problems, data, and production-grade AI engineering.
You will be responsible for taking ambiguous business problems and translating them into end-to-end AI/ML solutions that are reliable, scalable, secure, and measurable in production..
Responsibilities
•    Solution Architecture & Design
o    Own the end-to-end architecture of AI/ML solutions—from data ingestion to model serving and monitoring.
o    Design scalable, cloud-native AI architectures using microservices, APIs, and event-driven patterns.
o    Make technology trade-offs across build vs buy, model selection, infrastructure, and tooling.
•    Hands-On Model Development
o    Build, train, fine-tune, and evaluate ML / Deep Learning / GenAI models using Python
o    Work directly with Classical ML (classification, regression, anomaly detection), Deep learning (CNNs, Transformers) and LLMs (prompting, RAG, fine-tuning, agents)
o    Translate PoCs into production-ready models.
•    Data & Feature Engineering
o    Design data pipelines for structured, semi-structured, and unstructured data.
o    Lead feature engineering, data validation, and data quality strategies.
o    Work closely with data engineers to ensure training–serving parity.
•    MLOps & Productionization
o    Build and own MLOps pipelines for Model versioning, CI/CD, Automated retraining,  Model monitoring & drift detection
o    Deploy models using Docker, Kubernetes, cloud ML platforms, or custom inference services.
o    Ensure solutions meet performance, scalability, security, and compliance requirements.
•    Stakeholder & Technical Leadership
o    Act as the technical authority for AI/ML initiatives.
o    Communicate clearly with products, engineering, leadership, and clients.
o    Mentor engineers and data scientists; set best practices and standards.
Qualifications we seek in you!
Minimum Qualifications
•    Experience in software engineering, data engineering, or ML engineering.
•    Experience in building, designing, and deploying AI/ML systems in production.
•    Strong programming skills in Python (mandatory); experience with Java/Scala is a plus.
•    Proven experience with end-to-end ML lifecycle (data → model → deployment → monitoring).
•    Solid understanding of Supervised and unsupervised ML algorithms, Model evaluation and bias/variance trade-offs, 
•    Hands-on experience with PyTorch / TensorFlow, Scikit-learn, LLM frameworks (LangChain, Langgraph, CrewAI, LlamaIndex, etc.)
•    Solid experience with RAG architectures, vector databases, and embeddings.
•    Strong experience with AWS / Azure / GCP (at least one).
•    Experience with Kubernetes, Docker, REST / gRPC APIs, Streaming systems (Kafka, Pub/Sub)
•    Familiarity with ML platforms (SageMaker, Vertex AI, Azure ML).
•    Experience with MLflow / Weights & Biases, Feature stores, Model monitoring & drift detection.
•    Strong understanding of AI observability, reliability, and cost optimization
•    Understanding of ethical and responsible AI
Preferred Qualifications/ Skills
•    Strong proficiency in C programming language with experience in developing 
•    Experience building AI platforms or reusable AI frameworks
•    Experience with enterprise-scale AI systems
•    Strong opinion on AI safety, explainability, and responsible AI
•    Ability to challenge requirements and simplify over-engineered solutions
Why join Genpact? 
•    Lead AI-first transformation – Build and scale AI solutions that redefine industries 
•    Make an impact – Drive change for global enterprises and solve business challenges that matter 
•    Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills 
•    Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace 
•    Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build 
•    Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.  
Let’s build tomorrow together. 

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.  
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.