Senior AI Data Architect / Solution Engineer - India Based

BMC Software; Pune District; On-site; INR 3,995,000 - 5,405,000; Full time

Benefits offered by this job

Variable pay plan

Country-specific benefits

Returnship program

Job summary

BMC Software in Pune, India seeks a Senior AI Data Architect / Solution Engineer to design scalable architectures that deliver trusted data and to build AI products enabling business users to query governed data through natural language interfaces.

You will lead technical decisions, craft agentic workflows, and bridge business needs with engineering reality while mentoring team members in a fast-paced environment.

Qualifications

• 8+ years across data architecture and hands-on engineering.
• Proficient in Python and SQL; experienced with Snowflake and DBT.
• Experience designing LLM/agentic solutions—RAG, tool calling, orchestration, evaluation.

Responsibilities

• Design reference architecture and patterns for scalable governed data delivery.
• Architect and build Data Agent and agentic workflows with orchestration and guardrails.
• Co-design semantic layer and ensure agents query governed definitions.
• Lead engineering design reviews and mentor engineers to production.
• Translate business problems into technical requirements and manage stakeholders.
• Deliver end-to-end features and drive progress amid evolving requirements.

Skills

Python

SQL

Snowflake

DBT

LangChain

LlamaIndex

LangGraph

Prompt engineering

Observability

Data architecture

Leadership

Communication

Tools

SnowflakeDBT Tools

Python SDKs

SQL tooling

Job description

Senior AI Data Architect / Solution Engineer

BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry‑leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success.

We are looking for a Senior AI Data Architect / Solution Engineer to design the architecture that delivers trusted data at scale and to build the AI products that put it directly in the hands of the business. This hands‑on, senior role sets the technical blueprint, builds the agents on top of it, and acts as the bridge between business needs and technical reality.

Responsibilities

• Architecture for Scale (Primary Focus) – Design the reference architecture and delivery patterns that take governed data from the semantic layer to every downstream consumer (dashboards, applications, AI agents) reliably and at scale, with build‑vs‑buy calls and standards that let the platform grow without painful rework.
• AI Data Products & Agents – Architect and build the Data Agent, the natural‑language interface that lets business users query governed data without writing SQL; design agentic workflows with orchestration, tool/function calling, retrieval, evaluation, and guardrails.
• Semantic Foundation – Co‑design the semantic layer (HoneyDew / DBT) – the metrics, dimensions, and governed business meaning that power both analytics and AI – ensuring agents query governed definitions, not raw tables.
• Technical Leadership – Serve as technical lead and trusted advisor; set patterns, run design reviews, and mentor engineers, partnering with the Data Engineer to take designs to production.
• Business Translation – Translate ambiguous business problems into clear technical requirements; own stakeholder relationships and move fluently between executive framing and engineering detail.
• Ownership & Execution – Take features and subsystems end‑to‑end, proactively identify gaps and drive work forward even when requirements are incomplete or evolving.

Qualifications

• 8+ years across data architecture and hands‑on engineering, including production systems that held up under real enterprise use.
• Strong proficiency in Python and SQL, with deep, hands‑on experience designing and building on Snowflake and DBT.
• Proven experience designing and building LLM / agentic solutions – RAG, function / tool calling, orchestration (LangChain / LlamaIndex / LangGraph), prompt engineering, and evaluation / observability.
• Deep understanding of the semantic layer as the architectural bridge between source data and business meaning – and why it is foundational to trustworthy AI.
• Demonstrated ability to translate complex technical concepts for non‑technical stakeholders and influence architecture decisions across teams.
• Strong communication and the ability to lead through execution in a fast‑moving environment.

Broad Technical Exposure (depth not required in all areas)

• Cloud‑native architecture across AWS, Azure, or GCP.
• Vector databases, embeddings, and retrieval evaluation.
• CI/CD and modern engineering practices for data and AI systems.
• Containerization and distributed systems (Docker, Kubernetes, microservices).

Nice to Have

• HoneyDew or other universal/headless semantic layers (HoneyDew, Cube, AtScale, dbt Semantic Layer).
• Snowflake Cortex / Snowflake Intelligence, or production text‑to‑SQL systems.
• Prior technical‑lead or principal‑engineer role with mentorship responsibility.
• Background bridging pre‑sales / solution engineering and hands‑on delivery.

Benefits & Commitment

BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!

We are committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.

At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,700,000 INR.

Other rewards may include a variable plan and country‑specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices.

(Returnship@BMC) – This role is eligible for candidates who have taken a break in their career and want to re‑enter the workforce. If your expertise matches, please refer to our returnship information for details.