AI Data Architect

Job Description

AI Data Architect / Engineer (IC Role) Location: Gurgaon, IN Role Type: Full-Time, Individual Contributor About the Role We are seeking an experienced AI Data Architect / Engineer with deep expertise in Snowflake and hands-on experience designing and delivering Generative AI?powered data solutions. In this individual contributor role, you will architect, build, and optimize data platforms and AI pipelines that enable intelligent, scalable analytics and application experiences. You will collaborate with cross-functional teams?including data engineering, product, AI/ML engineering, and business stakeholders?to design modern data architectures, implement vector-enabled data systems, and operationalize AI models into production. Why Birdeye? Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye?s AI-powered platform to effortlessly manage online reputation, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive. At Birdeye, innovation isn't just a goal ? it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2. Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who?s who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR. Key Responsibilities Architect and develop end-to-end data solutions on Snowflake with business outcomes, including data modeling, performance optimization, governance, and security best practices. Design and implement Generative AI systems leveraging LLMs, vector databases, and retrieval-augmented generation (RAG). Build scalable ETL/ELT pipelines, data ingestion frameworks, and orchestration workflows using modern tools (e.g., DBT, Airflow, n8n, or equivalent). Implement Snowflake features such as Snowpark, UDFs, Streams, Tasks, Snowpipe, and data sharing to support AI workloads. Develop and maintain vector embeddings, semantic search systems, and knowledge bases integrated with Snowflake or companion vector stores. Partner with AI/ML engineers on model selection, evaluation, fine-tuning, and deployment pipelines. Collaborate with security teams to ensure compliance with data privacy, governance, and responsible AI standards. Own solution architecture documentation, data flow diagrams, and technical design specifications. Drive performance tuning, cost optimization, and reliability improvements across the data and AI stack. Evaluate emerging AI, data, and cloud technologies and make recommendations for adoption. Requirements Required Qualifications 5?8+ years of experience in data engineering, data architecture, or related technical roles. Strong hands-on experience with Snowflake, including data modeling, workload optimization, and scalable architecture design. Experience building Generative AI applications or data infrastructures using LLMs (OpenAI, Anthropic, Llama, etc.). Practical experience with vector databases (e.g., Snowflake Cortex, FAISS). Proficiency in SQL and programming languages such as Python or TypeScript. Experience with cloud platforms?AWS, GCP, or Azure?including compute, storage, serverless, IAM, and networking basics. Understanding of RAG pipelines, embeddings, prompt engineering, and model deployment patterns. Familiarity with data governance, cataloging, lineage, and metadata management tools. Strong problem-solving skills and ability to operate independently in a fast-paced environment. Preferred: Experience with Snowflake Cortex, Snowpark ML, or platform integrations for AI workloads. Background in MLOps (CI/CD for ML, model monitoring, feature stores). Prior experience integrating AI capabilities into enterprise applications or customer-facing products. Knowledge of streaming data architectures (Kafka, Kinesis, Pub/Sub). Certifications in Snowflake, AWS/GCP/Azure, or AI/ML. What You?ll Bring A passion for leveraging data and AI to solve complex business problems. Ability to design pragmatic, scalable solutions balancing performance, cost, and quality. Excellent communication skills and the ability to influence technical and non-technical stakeholders. Ownership mindset, curiosity, and willingness to stay current with fast-moving generative AI advancements. Why You?ll Join Us Opportunity to lead architecture for next-generation AI platforms. Work with cutting-edge cloud and AI technologies. High impact IC role with significant autonomy and visibility. Collaborative team culture and strong executive sponsorship for AI initiatives. At Birdeye, we are relentless innovators driven by a singular goal: to lead our category with unparalleled excellence. We don't just set goals ? we surpass them. We're a team of doers who roll up our sleeves and get the job done, delivering on our promises with unwavering dedication. Working here means embracing a culture of action and accountability, where every person is empowered to make an impact. We don't just talk about making a difference ? we make it happen. Benefits: A hybrid work culture built on collaboration Monthly office events and quarterly team events/outings Paid maternity & paternity leave to support you at every stage of life Employee term life insurance, family medical cover + optional subsidized parental medical cover Flexi Benefits Plan for tax saving plus we offer Corporate NPS Employee Resource Groups where you?ll connect, belong, and thrive Be part of a fast-growing SaaS company redefining what?s possible with AI Work alongside top industry talent in an environment designed for learning, mentorship, and career acceleration Interested candidates, please send their resumes to [email protected] Regards Iqbal kaur