12 months ago
Gurgaon, IndiaSenior
Responsibilities
- Own the hands-on delivery of GenAI services and agentic workflows from design and integration through production deployment.
- Manage release, versioning, rollback, monitoring, troubleshooting, and ongoing operational reliability of live AI solutions.
- Design and maintain Python services and workflows integrating LLMs, retrieval, search, and client systems.
- Build multi-step agentic workflows, robust agent tooling, APIs, schemas, error contracts, versioning strategies, and observability hooks.
- Set up tracing, logging, metrics, evaluation, regression, quality, and safety checks for AI solutions.
- Apply platform, security, governance, RBAC, data-access, PII-handling, logging, and audit guardrails.
- Collaborate with clients, product managers, business stakeholders, UX, engineers, architects, and domain experts.
- Participate in design reviews, code reviews, architecture discussions, estimation, task planning, and delivery-status reporting.
- Guide junior engineers and consultants through code review and pairing.
- Contribute to internal playbooks, reusable patterns, examples, and AI-tool enablement.
- Support pre-sales activities including project scoping, estimation, and solution design.
Requirements
- Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related quantitative field.
- At least 5 years of experience in a data science-related role focused on machine learning and deep learning.
- Strong Python programming skills for efficient, scalable, and maintainable code.
- Experience developing and training custom deep learning models with TensorFlow, PyTorch, or scikit-learn.
- Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, and NVIDIA AI Enterprise and DGX platforms.
- Experience with major and open-source model providers including Llama, Anthropic Claude, and OpenAI.
- Understanding of transformer architectures, attention mechanisms, fine-tuning, transfer learning, and RAG methods.
- Experience across the machine learning lifecycle, including deployment, monitoring, drift detection, retraining, and canary testing.
- Five to nine years of software engineering experience with substantial Python development for production services and workflows is preferred.
- Experience deploying and operating GenAI or agentic AI solutions in reliable production environments is preferred.
- Experience with AWS Bedrock, Azure AI, OpenAI, Anthropic, prompt and system design, structured outputs, JSON schemas, and tool or function calling is preferred.
- Experience with LangGraph, AgentCore, or LangChain for agentic and multi-step workflows is preferred.
- Experience with AWS or Azure cloud-native environments, serverless patterns, environment configuration, secrets management, logging, metrics, and observability is preferred.
- Strong software engineering fundamentals including Git, testing, code review, CI/CD-friendly patterns, and clean code practices are preferred.
- Familiarity with MLOps, data platforms, observability tools, security, governance, responsible AI, and reusable platform or SDK components is preferred.
- Strong communication and collaboration skills, including presenting complex technical information to technical and non-technical audiences.
- Experience working in globally distributed, client-facing teams, especially across India and US time zones, is preferred.
Benefits
- Comprehensive India health insurance with dependent coverage options.
- Paid time off, company holidays, and additional leave benefits according to policy.
- Flexible work arrangements.
- Learning, development, certification, and upskilling opportunities.
- Employee wellness programs focused on physical and mental well-being.
- Retirement and statutory benefits in line with India regulations.
- Inclusive, collaborative, people-first culture with emphasis on ownership.
Categories
About AHEAD
AHEAD is an IT services and consulting firm that designs, builds, and operates digital platforms for large enterprises across cloud infrastructure, automation, data and analytics, security, and DevOps. It generates revenue through consulting, systems integration, and managed services, including cloud management and operations. Founded in 2007 and headquartered in Chicago, it is privately held and owned by Centerbridge Partners.