24 Sep
|
BMC Software
|
Pune
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. BMC does this in a simple and optimized way by connecting people, systems, and data that power the worlds largest organizations so they can seize a competitive advantage.
Were hiring a Technical Solutions Specialist (TSS) to join our AI Automation team. Youll take solution ideas from 0 to N designing, building, and running GenAI and automation solutions that solve real business problems for internal enterprise consumption.
This is a hands-on technical role within our IT function. Everything we build is for internal business teams. Youll write code, build agents, integrate systems, and work closely with cross-functional teams. You should be comfortable operating in an environment with clear segregation of duties, where influence and collaboration matter as much as technical skill.
What Youll Do
- Build and Deliver AI Automation Solutions
- Take solution ideas from concept to production discovery, design, build, deploy, and support.
- Break down messy business problems into structured, testable solutions.
- Build agents on Copilot Studio, automations on Power Platform, and custom services on Azure or AWS.
- Write production code in Python and/or TypeScript; build front-end components in React where needed.
- Diagnose and fix production issues across APIs, integrations, cloud services, and data flows.
GenAI Engineering
- Build and tune RAG pipelines chunking, embeddings, vector stores to improve agent accuracy.
- Handle real-world GenAI edge cases: token limits, malformed documents, hallucinations, latency, cost.
- Know when GenAI is the right answer and when it isnt. Pick the right tool for the problem.
- Integrate LLM services responsibly into enterprise workflows with proper guardrails, logging, and fallbacks.
Enterprise-Grade Thinking
- Design with enterprise realities in mind:
security, compliance, environment segregation, change control, and auditability.
- Work within a segregation-of-duties model coordinate with platform, security, and infra teams instead of going around them.
- Contribute to runbooks, deployment docs, and operational playbooks so knowledge isnt stuck with one person.
Collaboration Communication
- Work across globally distributed teams. Give clear async updates and come prepared to sync discussions.
- Speak the language of engineering, IT, and business stakeholders and translate between them.
- Raise risks, blockers, and unknowns early. Dont let problems surface late.
- Own your workstream end-to-end. Ask for help when needed.
Agile DevOps
- Participate in sprint planning, stand-ups, and backlog grooming (Jira or equivalent).
- Use Git, GitHub Actions or Azure DevOps for version control and CI/CD.
- Do proper local testing and regression checks before handing off to SIT/UAT.
What Were Looking For
- 4-7 years of hands-on software or automation delivery experience.
- Robust coding skills in Python and/or TypeScript (JavaScript). Experience calling or building around LLM APIs.
- Hands-on experience with at least one major cloud Azure or AWS.
- Experience building GenAI solutions in production not just prototypes or notebooks.
- Practical understanding of RAG: embeddings, vector databases, chunking strategies, retrieval quality.
- Experience with React or a similar modern front-end framework.
- Experience with Microsoft Copilot Studio and Power Platform (Power Automate, Dataverse). Familiarity with Azure AI Search, Azure OpenAI, Azure Document Intelligence, or AWS Bedrock equivalents.
- Comfort working in enterprise IT environments with formal change management and cross-team dependencies.
- Clear communication skills verbal and written. Able to push back constructively.
Nice to Have
- Experience integrating with enterprise systems (Salesforce, Zuora, SharePoint, etc.).
- Exposure to agentic frameworks and multi-agent orchestration.
- Awareness of AI governance, security, and compliance practices.
📌 AI Engineer - Copilot studio (Pune)
🏢 BMC Software
📍 Pune