
Artificial Intelligence Engineer
6 days ago
About the Role:
We are seeking a dynamic and experienced
Manager – AI
to lead the design, development, and deployment of next-generation AI solutions, with a strong focus on
Generative AI
,
Natural Language Processing (NLP)
, and
Machine Learning (ML)
within the pharmaceutical industry.
As an AI Manager, you will guide a team of engineers and data scientists, drive project execution, and collaborate closely with product and domain teams. You will be responsible for architecting production-grade systems, mentoring technical talent, and spearheading innovation through applied GenAI.
This role combines strategic leadership, technical depth, and hands-on execution—ideal for a candidate passionate about operationalizing cutting-edge AI technologies for real-world impact in life sciences.
Salary Range: 10.00 to 20.00 LPA
Key Responsibilities
- Lead and manage
the end-to-end lifecycle of AI/GenAI projects, from scoping and architecture to development, testing, deployment, and optimization. - Guide the development of
intelligent agents
,
LLM-powered chatbots
, and
voice-enabled systems
tailored to pharmaceutical and enterprise use cases. - Architect
context-aware GenAI solutions
using RAG (Retrieval-Augmented Generation), embeddings, vector databases, and multimodal models. - Oversee
fine-tuning of LLMs
(e.g., GPT, Claude, LLaMA, Mistral, Phi 4) and drive responsible AI evaluation practices (e.g., hallucination mitigation, prompt robustness). - Collaborate with cross-functional stakeholders including product owners, regulatory teams, and business leads to align AI solutions with strategic goals.
- Lead and mentor a team of AI/ML engineers and researchers, fostering technical growth and high performance.
- Stay current with emerging trends in GenAI, open-source models, agent frameworks, and voice tech; translate advancements into practical applications.
- Ensure projects adhere to
regulatory
,
compliance
, and
data governance standards
, particularly in a GxP or HIPAA-compliant environment. - Drive innovation culture by piloting proofs-of-concept and scaling successful initiatives across the organization.
Requirements
- Minimum
6+ years
of experience in AI/ML/NLP, including at least
3 years in GenAI
technologies and
team leadership
or technical program management. - Deep expertise in
LLMs/SLMs
, including prompt engineering, fine-tuning, and building production-ready GenAI applications. - Experience with
RAG pipelines
, vector search (FAISS, Pinecone, Weaviate), and embedding models. - Strong coding skills in
Python
and experience with frameworks like Hugging Face, LangChain, LanGraph, OpenAI/Anthropic SDKs. - Experience with
API development
,
MLOps
, and deploying models using containers or cloud-native tools. - Proven ability to lead cross-functional teams and translate business needs into scalable AI systems.
- Strong analytical thinking, problem-solving, and architectural design capabilities.
Nice to Have
- Experience building or integrating
voice assistants
,
speech-to-text APIs
, or
multimodal GenAI interfaces
. - Familiarity with
agent frameworks
(e.g., CrewAI, AutoGen, LangGraph) for autonomous AI workflows. - Understanding of
regulatory frameworks
in life sciences (GxP, HIPAA, GDPR, etc.). - Prior exposure to enterprise IT systems in the pharmaceutical or healthcare domain.
Educational Qualifications
- Bachelor's in Engineering (B.E./B.Tech.) or Master's in Computer Applications/Technology (MCA/M.Tech.).
- Certifications or specialization in AI/ML/Data Science are highly desirable.
Benefits We Offer
- Free
in-house gym
for employee wellness. - Exposure to high-impact projects
- Inclusive, innovation-driven culture
with opportunities for career growth and leadership.
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