Experience:
12 to 15 years
Location:
Gurgaon
Job code:
101382
Posted on:
Dec 01, 2025
About Us
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary
We are seeking an experienced AI Architect to lead the design, development, and implementation of enterprise-scale AI and ML solutions. The ideal candidate will architect end-to-end AI systems, integrate LLMs and GenAI capabilities, define data and model pipelines, and guide engineering teams in delivering production-ready AI solutions. This role requires deep technical expertise, strong architectural leadership, and hands-on experience with cloud-based AI platforms.
Key Responsibilities
- Architect, design, and deliver enterprise AI/ML solutions across cloud and on-premise environments.
- Lead solution design for LLMs, Generative AI, NLP, RAG pipelines, and agent-based AI systems.
- Define AI architecture blueprints, model lifecycle workflows, and integration patterns.
- Oversee data ingestion, feature pipelines, vector search, and model deployment workflows.
- Evaluate and select AI frameworks, libraries, cloud services, and MLOps tools.
- Collaborate with data engineering, product, and platform teams to ensure scalable and secure AI systems.
- Guide teams in implementing MLOps, CI/CD for ML, monitoring, and observability.
- Conduct architecture reviews, ensure adherence to standards, and manage governance requirements.
- Develop POCs, reference architectures, and reusable AI components.
- Drive best practices for responsible AI, model transparency, and data privacy.
Role Requirements And Qualifications
- 12+ years of experience in AI/ML engineering, data engineering, or solution architecture.
- Strong hands-on expertise in Python, ML frameworks (TensorFlow, PyTorch), and LLM/GenAI ecosystems.
- Experience designing RAG, embeddings, vector databases, and LLM-powered applications.
- Strong understanding of cloud AI services (AWS, Azure, GCP).
- Experience with MLOps, CI/CD for ML, Model Registry, monitoring, and deployment pipelines.
- Understanding of security, compliance, and architectural governance.
- Excellent communication and stakeholder-management skills.
Preferred Skills
- Experience with agent frameworks (LangChain, AutoGen, CrewAI).
- Familiarity with Databricks, Spark, and large-scale data processing.
- Experience with knowledge graphs or enterprise search systems.
- Understanding of microservices, API gateways, and system integration patterns.
Why Join Us
- Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
- Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
- Competitive compensation & benefits, ESOPs and international assignments.
- Supportive environment with healthy work-life balance and a focus on employee well-being.
- Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
How To Apply
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.