AI Solutions Architect

21 hours ago


kochi, India beBeeArtificialIntelligence Full time

Key Roles and ResponsibilitiesDevelop end-to-end full-stack solutions for AI applications that integrate real-time and historical data, facilitating autonomous decision-making.Implement intelligent agents using frameworks such as LangChain and LangGraph, leveraging large language models (LLMs) for document authoring, semantic search, and recommendation systems.Create scalable, secure, and compliant chatbot interfaces to serve enterprise needs.Maintain robust data pipelines using Python, Snowflake SQL, and AWS-native services for seamless data flow and processing.Deploy AI services on cloud platforms including AWS, Azure AI, and GCP.Collaborate with cross-functional teams to translate complex workflows into intelligent automation solutions.Ensure AI systems comply with regulatory and operational standards, documenting architecture, deployment processes, and governance practices.Lead the development and deployment of AI agents for document retrieval and generation in large-scale enterprise environments.Promote AI governance and ethics by adhering to principles of fairness, transparency, privacy, and responsible AI model integration.Mentor junior engineers, lead technical workshops, and drive proof-of-concept projects to foster innovation and knowledge sharing.Communicate effectively with stakeholders to align AI solutions with business goals and operational requirements.RequirementsProficiency in AI frameworks such as LangChain and LangGraph.Strong understanding of large language models (LLMs) and their applications.Experience with graph databases like Neo4j and vector databases.Familiarity with cloud platforms including AWS, Azure AI, and GCP.Excellent communication and collaboration skills.BenefitsOpportunity to work on cutting-edge AI projects.Collaborative and dynamic work environment.Possibility of professional growth and development.Other InformationThis role is ideal for individuals who are passionate about AI and its applications.The successful candidate will have a strong background in computer science and AI.A bachelor's degree in Computer Science or related field is required.Relevant experience and certifications in AI are preferred but not necessary.



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