Gen AI Architect

3 days ago


Bengaluru, India Persistent Systems Full time

About Persistent

We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 14 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem.

Our growth trajectory continues, as we reported $765.6M for FY22 revenue (35.2% Y-o-Y). Along with our growth, we've onboarded over 4900 new employees in the past year, bringing our total employee count to over 18,500 people located in 19 countries across the globe. Throughout this market leading growth, we've maintained strong employee satisfaction - over 94% of our employees approve of the CEO and 89% recommend working at Persistent to a friend.

For more details please login to www.persistent.com


Responsibilities:

  • Spearhead the development and execution of groundbreaking projects in collaboration with Process architects, Automation developers & IT, leveraging advanced AI, ML, RPA & process mining technologies.
  • Exhibit an unyielding commitment to innovation, playing a pivotal role in propelling projects to successful completion while upholding the highest standards of excellence.
  • Lead and cultivate strong functional partnerships, guiding the integration of state-of-the-art AI/ML, automation, and data analytics solutions tailored to the unique needs of the business functions.
  • While prior expertise in AI and ML is highly valued, an eagerness to continually expand knowledge and expertise in these domains is essential to stay at the forefront of evolving technologies.
  • Apply process mining & process discovery techniques to find process efficiencies and automation opportunities.
  • Support the integration of advanced natural language processing techniques, such as Language Model (LLM) and Retrieval Augmented Generation (RAG), into RPA workflows.
  • Lead PoC efforts to showcase AI feasibility and value.
  • Translate PoC results into production-ready pilots.
  • Build hyper automation solutions leveraging RPA, Document Processing, AL & ML Demonstrate proficiency in generative AI techniques, including familiarity with LLM models.
  • Develop and implement Generative AI models, including LLMs and RAG, to build conversational AI & automation.
  • Develop and implement Gen AI models using AWS AI/ML services.


Required Skills and Qualifications:

  • Bachelor's or master's degree in computer science, engineering, data science or a related field.
  • 12+ years of total experience in the industry.
  • 9+ years of proven experience in architecting, designing, developing, and deploying Automation solutions using emerging technologies (RPA, document processing, ML, AI).
  • 4+ year of experience in AI development using LLMs, GPT models and AWS AI platform 6+ year experience in prompt engineering considering user intent, context, and reasoning.
  • Proven experience in frameworks such as LangChain or Semantic Kernel, vector databases. OpenAI APIs, AWS OpenSearch and other AWS AI/ML and data services Knowledge of ChatGPT/Copilots, machine learning, neural networks, NLP, and computer vision Familiarity with AIOps, MLOps, including CI/CD, model training or testing, deployment, and monitoring.
  • Experience working in a collaborative, cross-functional team environment with data engineers, data scientists, and automation developers.
  • Strong programming skills in languages such as Python.
  • Hands on experience with RPA tools such as Automation Anywhere, Microsoft Power Automate.
  • Familiarity with ethical considerations in AI.
  • Certifications, such as AWS data Engineer Associate and similar are preferred.
  • Effective communication, presentation, collaboration and influencing skills.
  • Strong analytical and problem-solving abilities.


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