Principal Technical Consultant – AI
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Job Description
Principal AI consultant delivering production GenAI and agentic workflows for AHEAD’s digital transformation platforms. Building, deploying, and operating reliable AI solutions for enterprise client engagements.
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, rollback, and reliable live operation
- Make design and trade-off decisions and contribute to technical architecture discussions
- Produce estimates, task breakdowns, and delivery status; surface risks, blockers, and dependencies
- Design, implement, and maintain Python-based services and workflows integrating LLMs and GenAI capabilities with client systems and applications
- Build agentic and multi-step workflows using frameworks and patterns such as LangGraph, AgentCore, and LangChain
- Develop tooling and APIs for agents with schemas, error contracts, versioning, and observability hooks
- Consume retrieval/RAG and search abstractions, tuning top-k, scoring, and filters
- Own monitoring, alerting, troubleshooting, and iterative improvement of workflow operational health
- Set up tracing, logging, metrics, LLM observability, evaluation, regression, and safety tooling
- Operate within platform, security, and governance guardrails including RBAC, data access boundaries, PII handling, logging, and audit
- Partner with product managers, business stakeholders, UX, clients, engineers, product owners, and domain experts
- Participate in design reviews, code reviews, and architecture discussions
- Support and guide junior engineers and consultants through code review and pairing
- Contribute to internal enablement through playbooks, examples, and reusable patterns
- Use AI tools such as Glean, Devin, Windsurf, and Claude 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 writing 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 advanced deep learning concepts
- Knowledge of generative AI concepts, including fine-tuning, transfer learning, and RAG methods
- Experience with the machine learning lifecycle, including model deployment, monitoring, drift detection/retraining, and canary testing
- Strong communication and collaboration skills, with the ability to present complex technical information to technical and non-technical audiences
- Experience in pre-sales activities, including project scoping, estimation, and solution design
Benefits:
- Comprehensive health insurance coverage for employees, with options to extend coverage to dependents
- Paid time off and company holidays, along with additional leave benefits as per policy
- Flexible work arrangements, supporting work-life balance
- Learning and development opportunities to support continuous growth and upskilling
- Employee wellness initiatives and programs focused on physical and mental well-being
- Retirement and statutory benefits in line with India regulations
- Inclusive and people-first culture, with a strong focus on collaboration and ownership
- Cross-department training and development
- Sponsored certifications and credentials for continued learning
- Multi-million-dollar technology lab
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