Must Have Technical/Functional Skills - 5+ years of work experience in Software Engineering
- 3+ years of work/educational experience in Artificial Intelligence/Machine Learning
- Experience with Agile Software Development Lifecycles and DevOps/DevSecOps
- Development experience on AWS, AWS Sagemaker required
- Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark
- Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.
- Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch.
- Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning
- Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications
- Experience training and maintaining large language models
- Experience with production-grade development, integration and support
- Experience and familiarity presenting to technical and business audiences
- Position open to ATL and MSP offices
Roles & Responsibilities - Grow Customers use of AI within customer and employee facing experiences
- Partner with cross functional business and technology teams to understand business landscape and drive AI opportunities.
- Provide technical thought-leadership and direction for AI solutions across a wide range of centralized and distributed environments across the Customer landscape.
- Partner with Architecture, Foundations, and Security teams to pave the way for Customer leverage industrialized design patterns
- Help to define, design and capture data required for measurement of each solution
- Collaborate frequently to share ideas and gain perspective. Communicates critical information in a clear and timely manner. Listens to others. Seeks clarification and confirms shared understanding when communicating.
- Delivering with Quality and Speed
- Collaborate with business and product owners, understanding the product and business domain to engineer solutions that create a competitive advantage
- Work within a team of engineers and cross-divisionally to design and build Artificial Intelligence into technical solutions at scale
- Contribute to the strategy around which frameworks and technologies are leveraged with each solution, and partner with the foundations teams to approve new design patterns
- Look upstream and downstream to see around corners and anticipate future consequences for immediate technical choices
- Document and communicate solutions with effective documentation, flowcharts, layouts, diagrams, charts, code comments and clear code
- Design, Develop, Monitor, and scale AI components, APIs, and loosely coupled applications and integrate these with highly available channels and systems
- Incorporate security standards, test-driven development, and pipeline deployment automation to achieve robust reliability and scale
- Mentor junior team-mates to define and implement detailed measurement data, error logging/tracking for all products within our domain
- Initiate and lead code reviews and continuous im provement efforts
- Analysis and implementation of Performance/Stability/Reliability initiatives
- Monitors metrics, problems, trends, and costs, in order to determine solutions, required process changes, etc. that will make the function more efficient o Plan, create, and execute automated test cases and load/performance testing
- Operate with Agile and Cloud Target squads within two-week sprints
- Own and support what you build
- Production issue triage, management, and prevention with a focus on continuous improvement
- Develop an AI first mindset and help democratize AI for Customer
Salary Range-$100,000-$130,000 a year
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TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
