AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
AtAHEAD, we prioritize creating a culture of belonging,where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer,anddo not discriminatebased onan individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, maritalstatus,or any other protected characteristic under applicable law, whether actual or perceived.
We embraceall candidatesthatwillcontribute to the diversification and enrichment of ideas andperspectives atAHEAD.
As a Principal Technical Consultant, AI Services, you are responsible for the hands-on delivery of AI solutions within AHEAD client engagements. You are an engineer and client-advisor - you turn solution designs into working, production-grade GenAI / Agentic AI workflows, and you take them all the way into production - deployed, running, and reliable in live client environments.
You will collaborate with clients and interdisciplinary teams, which includesengineers, product owners, domain experts to understandreal businessneeds and solve complex challenges across industries. You will work alongside senior consultants and architects, contribute to the technical directionand own delivery.
Solution Delivery & Production Deployment
- 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 arelive.
- Make sound design and trade-off decisions as you build, and bring the hard, cross-cutting calls into the team’s technical discussions contributing to the architecture, not just consuming it.
- Produce andmaintainyour own estimates, task breakdowns, and deliverystatus;surface risks, blockers, and dependencies early.
GenAI Engineering & Implementation
- Design, implement, andmaintainPython-based services and workflows that integrate LLMs and GenAI capabilities with client systems and applications.
- Build agentic and multi-step workflows usingorchestration 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.
- Consumeretrieval/RAG and search abstractions to improve grounding and reliability, tuning parameters (top-k, scoring, filters).
Quality, Observability & Governance
- Own the operational health of the workflows youbuild:monitoring, alerting, troubleshooting, and iterative improvement.
- Set up the observability and evaluation tooling for the solutions you buildincludingtracing, 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 established platform, security, and governance guardrails (RBAC, data access boundaries, PII handling, logging, audit) instead of building one-off mechanisms.
Collaboration & Enablement
- Partner with product managers, business stakeholders, and UX to turn problem statements and evaluation criteria into concrete, production-ready workflows.
- Participate actively in design reviews, code reviews, and architecture discussions, keeping solutions maintainable, observable, and aligned to platform standards.
- Support and guide junior engineers and consultants on the team through code review and pairing.
- Contribute to internal enablement (playbooks, examples, reusable patterns) and act as a high adopter of AI tools (e.g., Glean, Devin, Windsurf, Claude) to accelerate design, development, testing, and documentation.
- 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 with 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 & DGX platforms
- Hands-on experience with leading open source and major model providerssuch asLLama,Anthropic's Claude, Open AI. Etc.
- Solid understanding oftransformer architectures,attention mechanisms, and other advanced deep learning concepts.
- Knowledge ofgenerative AI concepts, includingfine-tuning,transfer learning, andRAGmethods.
- Experience with themachine 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 both technical and non-technical audiences.
- Experience in pre-sales activities, including project scoping, estimation, and solution design.
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
India Employment Benefits include:
- Comprehensive health insurancecoverage 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