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Principal Technical consultant-AI

1 month, 2 weeks ago
India
Full-time
Senior
AI (Artificial Intelligence)
Software Development
Generative AI LLM Python PyTorch SageMaker Scikit-learn TensorFlow
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AHEAD

AHEAD

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help...

IT Services
1K-5K
$43M raised
View All Jobs 84

Description

  • Own the end-to-end delivery of AI solutions, including building, testing, integrating, deploying, and shipping GenAI services and agentic workflows into production.
  • Take solutions from prototype to production and manage deployment, release, versioning, rollback, and live reliability.
  • Make design and trade-off decisions and contribute to architecture discussions.
  • Produce estimates, task breakdowns, delivery status updates, and surface risks, blockers, and dependencies early.
  • Design, implement, and maintain Python-based services and workflows that integrate LLMs and GenAI capabilities with client systems.
  • Build agentic and multi-step workflows using orchestration frameworks and platform patterns such as LangGraph, AgentCore, and LangChain.
  • Develop tooling and APIs for agents with clear schemas, error contracts, versioning, and observability hooks.
  • Use retrieval/RAG and search abstractions to improve grounding and reliability.
  • Own monitoring, alerting, troubleshooting, and iterative improvement for the workflows you build.
  • Set up observability and evaluation tooling, including tracing, logging, metrics, and quality, regression, and safety checks.
  • Operate within platform, security, and governance guardrails such as RBAC, data access boundaries, PII handling, logging, and audit.
  • Partner with product managers, business stakeholders, UX, engineers, and domain experts to shape production-ready workflows.
  • Participate in design reviews, code reviews, and architecture discussions.
  • Support and guide junior engineers and consultants through pairing and code review.
  • Contribute to internal enablement materials and use AI tools to accelerate design, development, testing, and documentation.

Requirements

  • Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 5 years of experience in a data science-related role with a focus on machine learning and deep learning.
  • Strong Python coding skills with an emphasis on efficient, scalable, and maintainable code.
  • Experience developing and training custom deep learning models using TensorFlow, PyTorch, or scikit-learn.
  • Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, nVidia AI Enterprise, and DGX platforms.
  • Hands-on experience with leading open source and major model providers such as Llama, Anthropic’s Claude, and OpenAI.
  • Solid understanding of transformer architectures, attention mechanisms, and other advanced deep learning concepts.
  • Knowledge of generative AI concepts, including fine-tuning, transfer learning, and RAG methods.
  • Experience with the machine learning lifecycle, including deployment, monitoring, drift detection/retraining, and canary testing.
  • Strong communication and collaboration skills with the ability to present technical information to technical and non-technical audiences.
  • Experience in pre-sales activities, including project scoping, estimation, and solution design.

Benefits

  • Comprehensive health insurance for employees, with options to extend coverage to dependents.
  • Paid time off and company holidays, plus additional leave benefits as per policy.
  • Flexible work arrangements supporting work-life balance.
  • Learning and development opportunities for continuous growth and upskilling.
  • Employee wellness initiatives focused on physical and mental well-being.
  • Retirement and statutory benefits in line with India regulations.
  • Inclusive, people-first culture with a strong focus on collaboration and ownership.

Interested in this position?

Apply directly on the company website

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