Senior Technical Consultant - Data and AI
Hybrid (Gurugram, Haryana, India)Full-timePosted 11mo ago
About the role
Senior Technical Consultant, AI Services responsible for hands-on delivery of AI solutions in client engagements, turning designs into production-grade GenAI/Agentic AI workflows deployed and reliable in live environments.
Responsibilities
- Own the hands-on delivery of AI solutions end-to-end: build, test, integrate, deploy, and ship GenAI services and agentic workflows into production.
- Take solutions from prototype to production handling deployment, release, versioning, and rollback, and keep them running reliably once they are live.
- Make sound design and trade-off decisions and contribute to architecture.
- Produce and maintain estimates, task breakdowns, and delivery status; surface risks, blockers, and dependencies early.
- Design, implement, and maintain Python-based services and workflows that integrate LLMs and GenAI capabilities with client systems and applications.
- Build agentic and multi-step workflows using orchestration frameworks and platform patterns (e.g., LangGraph, AgentCore, LangChain).
- Develop robust tooling and APIs for agents, with clear input/output schemas, error contracts, versioning, and observability hooks.
- Consume retrieval/RAG and search abstractions to improve grounding and reliability, tuning parameters.
- Own the operational health of the workflows: monitoring, alerting, troubleshooting, and iterative improvement.
- Set up observability and evaluation tooling including tracing, logging, and metrics through an LLM observability stack (e.g., Langfuse, LangSmith) and evaluation frameworks (e.g., DeepEval, Ragas).
- Operate within platform security and governance guardrails (RBAC, data access boundaries, PII handling, logging, audit).
- Partner with product managers, business stakeholders, and UX to turn problem statements into production-ready workflows.
- Participate in design reviews, code reviews, and architecture discussions; mentor junior engineers and consultants.
- Contribute to internal enablement and act as a high adopter of AI tools to accelerate design, development, testing, and documentation.
Qualifications
- Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or related quantitative field.
- Minimum of 5 years of experience in a data science-related role focusing on machine learning and deep learning.
- Strong Python coding skills for efficient, scalable, maintainable code.
- Experience with developing and training custom deep learning models using TensorFlow, PyTorch, or scikit-learn.
- Hands-on experience with Jupyter Notebooks, Azure ML Studio, Azure OpenAI, AWS SageMaker, NVIDIA AI Enterprise & DGX platforms.
- Hands-on experience with leading model providers (LLama, Claude, OpenAI, etc.).
- Solid understanding of transformer architectures, attention mechanisms, and advanced deep learning concepts.
- Knowledge of generative AI concepts including fine-tuning, transfer learning, and RAG methods.
- Experience with ML lifecycle: deployment, monitoring, drift detection/retraining, canary testing.
- Strong communication and collaboration skills for technical and non-technical audiences.
- Experience in pre-sales activities including project scoping, estimation, and solution design.
Skills
Required:PythonDeep learning / MLGenAI / LLM integrationOrchestration frameworksMLOps / observabilityCommunication
Nice to have:Pre-sales / solution design
Benefits
- Comprehensive health insurance coverage for employees, with options to extend to dependents
- Paid time off and company holidays, with additional leave per policy
- Flexible work arrangements
- Learning and development opportunities
- Employee wellness initiatives
- Retirement and statutory benefits in line with India regulations
- Inclusive and people-first culture
Last updated Oct 21, 2026. Interested? Apply on the company site.
About AHEAD
Digital Platforms Engineered for Modern Enterprises
AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations.
Platform SolutionsInfrastructure ModernizationLifecycle ManagementSeamless Integration
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