The Role
Lead the architecture and implementation of agentic AI systems: multi-agent orchestration, real-time integrations, STT/NLU ingestion, LLM fine-tuning and RAG pipelines, governance and human-in-the-loop controls, and scalable, low-latency platform design to enable proactive incident triage and automated investigations.
Summary Generated by Built In
Data Science Lead
Primary Skills
- Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Specialization
- Data Science Advanced: Data Scientist
Job requirements
- Job Description: Lead Solution Architect (Agentic AI & App Integration) Role Overview As the Lead Solution Architect, you will be the visionary and technical engine behind our AI-Enabled application. Transform a reactive monitoring environment into a proactive, agentic ecosystem. You will design the foundational integration blocks that allow Generative AI agents to interact with third-party applications, transcribe real-time communications, and provide intelligent, multi-step reasoning to support mission-critical decisions. ________________________________________ The Foundational Blocks 1. Orchestration Layer: Building the multi-agent framework (e.g., AutoGen, LangChain, or Semantic Kernel) that allows AI agents to collaborate, hand off tasks, and resolve complex incidents autonomously. 2. Universal Integration Fabric: Designing a standardized API and Webhook gateway that connects apps for real-time data ingestion and action execution. 3. The "Live Intelligence" Pipeline: Implementing Speech-to-Text (STT) and Natural Language Understanding (NLU) systems to ingest radio, video, and voice comms directly into the AI’s reasoning engine. 4. Governance & ALA (Agentic Level Agreements): Establishing the guardrails, audit logs, and "human-in-the-loop" protocols to ensure AI actions are safe, compliant, and transparent. ________________________________________ Key Responsibilities • Drive Agentic AI Strategy: Lead the architectural design of autonomous agents capable of L1/L2 incident triage, automated investigation, and proactive threat hunting. • Cross-App Integration: Develop reusable integration patterns (Event-Driven, WebSockets, REST) to ensure the app is the "single pane of glass" for all connected applications. • Conversational AI & STT: Design high-fidelity chatbot interfaces and real-time transcription services that allow operators to "talk to the data" and receive voice-activated summaries of active incidents. • Data Science Leadership: Partner with Data Scientists to fine-tune LLMs, optimize Retrieval-Augmented Generation (RAG) pipelines, and ensure model outputs are grounded in enterprise-specific data. • Scalability & Resilience: Ensure the architecture supports high-concurrency, low-latency operations.
Skills Required
- Python/PySpark
- R / RStudio
- TensorFlow
- PyTorch
- Scikit-Learn
- SAS/SPSS
- Kubeflow
- BentoML
- Great Expectation
- Evidently AI
- AutoGen, LangChain, or Semantic Kernel (multi-agent frameworks)
- APIs and Webhook gateway design; WebSockets and REST integrations
- Speech-to-Text (STT) and Natural Language Understanding (NLU) systems
- LLM fine-tuning and Retrieval-Augmented Generation (RAG) pipelines
- Forecasting methods (Exponential Smoothing, ARIMA, ARIMAX)
- Probabilistic Graph Models
- Classification algorithms (Decision Trees, SVM)
- Statistical methods (Hypothesis testing, T-Test, Z-Test, Regression)
- Designing governance, audit logs, and human-in-the-loop protocols
- Design for scalability, high-concurrency and low-latency operations
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
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