Sr. Gen AI Lead (Onsite)
Company: Cognizant
Location: Hartford
Posted on: October 23, 2024
Job Description:
Cognizant (NASDAQ: CTSH) is a leading provider of information
technology, consulting, and business process outsourcing services,
dedicated to helping the world's leading companies build stronger
businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant
is a member of the NASDAQ-100, the S&P 500, the Forbes Global
1000, and the Fortune 500 and we are among the top performing and
fastest growing companies in the world. Practice - AIA - Artificial
Intelligence and Analytics About AI & Analytics: Artificial
intelligence (AI) and the data it collects and analyzes will soon
sit at the core of all intelligent, human-centric businesses. By
decoding customer needs, preferences, and behaviors, our clients
can understand exactly what services, products, and experiences
their consumers need. Within AI & Analytics, we work to design the
future - a future in which trial-and-error business decisions have
been replaced by informed choices and data-supported strategies. By
applying AI and data science, we help leading companies to
prototype, refine, validate, and scale their AI and analytics
products and delivery models. Cognizant's AIA practice takes
insights that are buried in data and provides businesses a clear
way to transform how they source, interpret, and consume their
information. Our clients need flexible data structures and a
streamlined data architecture that quickly turns data resources
into informative, meaningful intelligence. Job Summary: We are
seeking a highly experienced GenAI Engineer with good experience
with LLM models with 15 + years of experience to join our team. The
ideal candidate will have extensive expertise in Generative AI
OpenAI GPT Azure ML Studio ML Ops Docker AI & ML Concepts Machine
Learning Artificial Intelligence Kubernetes Terraform Azure Machine
Learning and GIT. Experience in Property & Casualty Insurance is a
plus. This is a hybrid role with no travel required and a day shift
schedule. Responsibilities
- Lead the design and implementation of advanced AI and ML
solutions using Generative AI Azure ML Studio and other
cutting-edge technologies.
- Exposure to Azure OpenAI models is a plus
- Should have experienced in RAG architecture to enable
unstructured documents.
- Good understanding and experience in prompt engineering.
- Designing and developing generative AI models and
algorithms.
- Oversee the development and deployment of machine learning
models ensuring they meet the highest standards of performance and
reliability.
- Provide technical guidance and mentorship to junior team
members fostering a culture of continuous learning and
innovation.
- Collaborate with cross-functional teams to integrate AI and ML
solutions into existing systems and workflows.
- Develop and maintain MLOps pipelines to streamline the
deployment and monitoring of machine learning models.
- Leverage Azure Machine Learning to build train and deploy
machine learning models efficiently.
- Use GIT for version control and collaboration ensuring code
quality and consistency across the team.
- Conduct thorough testing and validation of machine learning
models to ensure they meet business requirements and performance
metrics.
- Stay up-to-date with the latest advancements in AI and ML
technologies applying new techniques and tools to enhance our
solutions.
- Communicate complex technical concepts to non-technical
stakeholders ensuring alignment and understanding across the
organization.
- Drive innovation by identifying new opportunities for AI and ML
applications within the Property & Casualty Insurance domain.
Qualifications
- Possess a deep understanding of Generative AI Azure ML Studio
ML Ops Docker AI & ML Concepts Machine Learning Artificial
Intelligence Kubernetes Terraform Azure Machine Learning and
GIT.
- Demonstrate experience in designing and implementing AI and ML
solutions in a hybrid work model.
- Exhibit strong problem-solving skills and the ability to think
critically and creatively.
- Show proficiency in containerization and orchestration
technologies such as Docker and Kubernetes.
- Display expertise in infrastructure as code using
Terraform.
- Have a proven track record of developing and deploying machine
learning models in a production environment.
- Possess excellent communication skills both verbal and written
with the ability to convey complex technical concepts to diverse
audiences.
- Experience in the Property & Casualty Insurance domain is a
plus.
- Demonstrate a commitment to continuous learning and staying
current with industry trends and advancements.
- Show strong collaboration skills and the ability to work
effectively in a team-oriented environment.
- Exhibit a proactive approach to identifying and solving
technical challenges.
- Have a strong understanding of MLOps practices and tools.
- Display a passion for innovation and leveraging AI and ML to
drive business value. Certifications Required Azure AI Engineer
Associate Google Professional Machine Learning Engineer Certified
Kubernetes Administrator (CKA) Salary and Other Compensation: The
annual salary for this position is between $130,000 - $ 170,000
depending on experience and other qualifications of the successful
candidate. This position is also eligible for Cognizant's
discretionary annual incentive program, based on performance and
subject to the terms of Cognizant's applicable plans. Benefits:
Cognizant offers the following benefits for this position, subject
to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan Disclaimer: The salary, other
compensation, and benefits information is accurate as of the date
of this posting. Cognizant reserves the right to modify this
information at any time, subject to applicable law. Cognizant is an
Equal Opportunity Employer M/F/D/V. Cognizant is committed to
ensuring that all current and prospective associates are afforded
equal opportunities and treatment and a work environment free of
harassment. Cognizant is recognized as a Military Friendly Employer
and is a coalition member of the Veteran Jobs Mission. Our
Cognizant Veterans Network Assists Veterans in building and growing
a career at Cognizant that allows them to leverage the leadership,
loyalty, integrity, and commitment to excellence instilled in them
through participation in military service. #LI-JM1 #CB #IND123
Keywords: Cognizant, Taunton , Sr. Gen AI Lead (Onsite), Other , Hartford, Massachusetts
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