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Principal Technical consultant-AI

AHEAD· Solutions Development / Artificial Intelligence
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Gurugram, HaryanaFull-timePosted 2mo ago

About the role

Principal Technical Consultant, AI Services responsible for hands-on delivery of GenAI/Agentic AI workflows in client engagements, from prototype to production, collaborating with interdisciplinary teams to solve complex business challenges across industries.

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 as you build, and bring cross-cutting technical discussions into the 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 (top-k, scoring, filters).
  • Own the operational health of the workflows you build: 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 quality, regression, and safety checks through 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 to keep solutions maintainable and aligned to standards.
  • Support and guide junior engineers and consultants through code review and pairing.
  • 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, with focus on machine learning and deep learning.
  • Strong Python coding skills with emphasis on 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 open source and major model providers such as 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 including 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:PythonGenAI/LLM integrationOrchestration frameworksModel deployment & lifecycleObservability toolingCommunication & collaboration
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 benefits per policy
  • Flexible work arrangements
  • Learning and development opportunities for continuous growth
  • Employee wellness initiatives and programs focused on physical and mental well-being
  • Retirement and statutory benefits in line with India regulations
  • Inclusive, people-first culture with collaboration and ownership
Last updated Oct 21, 2026. Interested? Apply on the company site.
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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.

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