Location : Remote, India Employment Type: Full-time Experience: 5–8 years About the Role Our client is seeking a Digital Transformation Consultant with deep domain knowledge in Record-to-Report (R2R) and Banking operations to drive impactful change across finance processes. The ideal candidate will bring expertise from a transformation, internal audit, or finance improvement background and possess a strong understanding of fixed assets, treasury, intercompany, and related processes. The ideal candidate will come from a finance background, such as a Chartered Accountant (CA) or an MBA in Finance. Key Responsibilities: Lead or support digital transformation projects focused on R2R processes, including Fixed Assets, Treasury, Intercompany Accounting, and Blackline implementations. Identify opportunities for automation, process redesign, and system optimization within the finance domain. Work cross-functionally with stakeholders in Finance, Audit, and IT to deliver end-to-end transformation initiatives. Analyze existing processes and controls to recommend improvements aligned with industry best practices. Participate in or drive the implementation of digital tools, dashboards, or reporting solutions to improve process efficiency and transparency. Support change management and training initiatives to ensure smooth adoption of transformed processes. Qualifications: CA, MBA in Finance, or equivalent professional background. 5–8 years of experience in Finance Transformation, Internal Audit, or Process Improvement roles. Hands-on experience in R2R, preferably within Banking, Shared Services, or Financial Services environments. Familiarity with systems such as Blackline, SAP, Oracle, or other ERP platforms. Strong analytical mindset and a demonstrated ability to lead or contribute to transformation projects. Good to Have: Exposure to automation and data analytics tools. Experience working in fast-paced, global organizations or consulting environments. Comfortable engaging senior stakeholders and driving cross-functional collaboration. Show more Show less
Job Title: Signavio Consultant – S2C & Process Intelligence Experience: 4–8 years Location: Remote, India About the Role Our client is seeking a skilled Signavio Consultant with hands-on experience in the Source-to-Contract (S2C) domain, along with a strong grasp of process intelligence, dashboard development, and backend configuration within Signavio. The ideal candidate will support process modeling, optimization, and transformation projects for enterprise procurement functions. Key Responsibilities: Collaborate with procurement and sourcing teams to understand and model S2C processes using Signavio Process Manager. Leverage Signavio Process Intelligence to analyze as-is processes, identify bottlenecks, and highlight opportunities for automation and improvement. Configure data pipelines and connectors for integrating backend systems (ERP, SRM, CLM) with Signavio for real-time process mining and KPI tracking. Design and build custom dashboards within Signavio to track operational and business metrics (e.g., cycle time, contract approval time, sourcing savings). Develop process variants, highlight deviations, and recommend remediation strategies based on data insights. Support transformation and continuous improvement initiatives by delivering actionable insights to stakeholders. Act as an SME for procurement processes, especially within S2C (sourcing, contracting, supplier onboarding, eSourcing tools). Maintain documentation, configuration logs, and testing plans related to process intelligence and dashboard setups. Required Skills & Experience 4-8 years of total experience with 3+ years of experience in Signavio (Process Intelligence, Process Manager, Collaboration Hub). Strong understanding of Source-to-Contract (S2C) processes in procurement. Proven expertise in dashboard creation within Signavio or with external visualization tools (Power BI, Tableau) based on Signavio exports. Experience in working with ERP systems (e.g., SAP Ariba, Coupa, SAP ECC/S4HANA) for data ingestion and backend setup. Good understanding of ETL pipelines and data modeling. Familiarity with BPMN 2.0 modeling standards. Excellent communication skills to interact with business stakeholders, analysts, and developers. Nice to Have Signavio certification (Process Intelligence or Process Manager). Exposure to SAP Process Insights or Celonis is a plus. Experience with Process Simulation and Value Accelerators in Signavio. Background in procurement consulting or supply chain transformation initiatives. Show more Show less
Job Title: Digital Transformation Lead – Procurement Location: India (Remote) About the Role: Our client is seeking a Digital Transformation Lead to help drive innovation and efficiency across procurement and supply chain functions using technologies like process mining, intelligent automation, and AI. While the focus is on procurement transformation, success in this role will require a broader understanding of enterprise functions such as finance, HR, and IT. The position involves working in a dynamic, client-facing environment where cross-functional collaboration, strategic thinking, and hands-on execution are equally important. Key Responsibilities: Lead the digital transformation roadmap for procurement and supply chain, integrating automation, process mining, and AI use cases. Conduct value stream mapping across cross-functional domains (e.g., P2P, R2R, O2C, HR, IT). Engage business stakeholders across procurement, finance, operations, and technology to gather and translate requirements into solution designs. Use tools like Celonis , Signavio , UiPath , Automation Anywhere , or Power Automate to identify inefficiencies and drive process improvement. Design and deploy scalable automation and AI solutions, including chatbots, NLP models, and document processing systems. Build RFPs and evaluation frameworks for selecting digital tools or delivery partners. Provide consulting support on digital procurement strategy, operating model design, and stakeholder alignment. Oversee change management, enablement, and capability-building initiatives to drive sustained transformation. Monitor performance against transformation KPIs and ensure continuous improvement through data-driven insights. Requirements: 7–12 years of experience in digital transformation roles with a strong foundation in procurement and supply chain. Proven ability to operate across additional business domains such as finance , HR , or IT , ideally within global or matrixed organizations. Demonstrated experience with the full RPA lifecycle , including discovery, solution architecture, deployment, and scaling. Hands-on experience with process mining tools (e.g., Celonis , Signavio ) and automation platforms (e.g., UiPath , Power Automate , Automation Anywhere ). Familiarity with AI/ML use cases in operations — including chatbots, anomaly detection, intelligent document processing, and supplier analytics. Strong stakeholder management and project delivery skills across consulting or enterprise environments. Experience working with ERP platforms such as SAP Ariba , Coupa , Oracle , or Microsoft D365 . Excellent communication skills and the ability to present to senior business and technical audiences. Nice to Have: Prior experience in a consulting firm or in a transformation leadership role within a global enterprise. Familiarity with global procurement transformation frameworks. MBA or equivalent post-graduate degree from a reputed institution. Ideal Candidate Profile: This role is ideal for transformation professionals with a procurement and supply chain focus, who also bring the cross-domain versatility , consulting mindset , and delivery rigor needed to drive enterprise-wide digital change. Show more Show less
Location: Pan-India (Remote / Hybrid / On-site depending on client) About the opportunity: We’re actively hiring Celonis Data Engineers across India with varying levels of experience to support global enterprises and high-growth digital teams. These teams are embedding Celonis and Object-Centric Process Mining (OCPM) to drive operational efficiency and transform core business operations across domains such as Procure-to-Pay (P2P), Order-to-Cash (O2C), Inventory Management (IM), Accounts Payable (AP), and Accounts Receivable (AR). What You'll Do: Perform end-to-end process mining using Celonis, including event log preparation , OCPM modeling , process discovery , conformance checking , and root cause analysis Build and optimize Celonis Studio components , including OCPM object models , Data Models , Knowledge Models , Views , Action Flows , and advanced PQL queries Design insightful dashboards and KPIs that convert process data into actionable business outcomes Translate business challenges into structured data insights and object-centric process improvements Collaborate with business operations, IT, transformation, and analytics teams to deploy and scale solutions Support or lead the delivery of process mining engagements depending on experience level Conduct stakeholder workshops, prepare solution documentation, and present findings to business users (For experienced professionals) Mentor junior team members and ensure delivery quality Required Skills & Qualifications: 1 to 12 years of experience in Celonis Data Engineering or related process mining roles Strong expertise in Celonis , including Studio , OCPM , PQL , Action Flows , Views , and Data Models Hands-on experience with OCPM use cases, object modeling, and relationships is essential Familiarity with SAP tables is required; Infor system knowledge is a strong advantage Solid understanding of core domains: P2P, O2C, IM, AP, AR Proficiency in SQL , data transformation , or ETL pipelines is a plus Strong analytical and problem-solving skills with a process-focused mindset Excellent communication and stakeholder management skills Experience managing delivery timelines or teams (for senior professionals) Celonis Technical Expert certification is a plus Apply Here: https://tinyurl.com/LTC-TalentPool Note: This opportunity is focused on digital process mining using Celonis. It is not related to physical or geological mining.
Job Title: Celonis Consultant (Remote / Hybrid / On-Site – based on client need) About the Role: We’re hiring Celonis Engineers with 2–6 years of experience to join high-impact initiatives across various domains, including Procurement, Finance, and Supply Chain. You’ll work hands-on with Celonis to develop robust data models, build object-centric operational apps, and support process analysis and automation for enterprise clients. This role is ideal for professionals with a technical foundation in data engineering or analytics, looking to deepen their expertise in Celonis and OCPM . Immediate joiners preferred. Responsibilities Perform technical implementation of Celonis use cases from data extraction to app configuration Build and maintain Celonis Data Models , Views , Object-Centric Process Mining (OCPM) artifacts, and Action Flows Collaborate with client IT and business teams to gather data requirements and ensure proper system integration Conduct process analysis and support root cause investigations through PQL and dashboarding Ensure scalability and performance of Celonis assets across projects Support project documentation and version management Work in close coordination with solution architects, business analysts, or transformation leads (where applicable) Qualifications 2–6 years of hands-on experience with Celonis , including strong PQL and data modeling skills Proven experience building OCPM apps , data pipelines, and views Strong understanding of relational data structures and business process flows Experience with SQL, ETL tools, or scripting languages is a plus Exposure to core business processes (e.g., P2P, O2C, R2R, AP, AR) Strong communication and collaboration skills in cross-functional setups Prior experience working with clients or external stakeholders is a plus Important Note: This role is focused on Celonis Process Mining and related technologies. It is not associated with geological or mineral mining. Work Setup: This role is flexible across remote, hybrid, or on-site models depending on client/project requirements.
As a Process Mining Consultant at our leading firm's Global Business Services (GBS) division, you will be a key member of the Process Solutions CoE team, focusing on enhancing efficiencies and reducing costs by leveraging data and digital services. Your role will involve transforming digital process data into process models using advanced process mining techniques to drive insights and optimize business performance. You will be responsible for leading end-to-end Process Mining implementations using Celonis, analyzing, visualizing, and optimizing business processes. This includes identifying and integrating data sources, performing ETL operations, and building custom data models to uncover actionable insights. Your expertise will be crucial in designing interactive dashboards and views using PQL and Celonis Studio for automation and monitoring purposes. Additionally, you will conduct root cause analysis, address process inefficiencies using advanced Celonis functionalities, and collaborate with cross-functional teams on process transformation and continuous improvement initiatives. Staying updated with industry trends and enhancing methodologies to maximize process mining impact will also be part of your responsibilities. To be successful in this role, you must hold a degree in Computer Science, Business Informatics, or a related field with 3-10 years of experience in IT, Consulting, or Digital Transformation, including at least 3 years in strategy consulting. Hands-on experience with Celonis or similar tools, strong SQL skills, and familiarity with Python and Celonis Studio Developer are highly desirable. Excellent analytical, communication, and stakeholder management skills are essential, along with experience in functional domains like Finance or HR. Proficiency in tools like Bitbucket, JIRA, and Confluence is beneficial. If you are proactive, detail-oriented, and thrive in a team-driven environment, we invite you to apply for this challenging and rewarding position as a Process Mining Consultant at our firm.,
Location: Pan-India (Remote / Hybrid / On-site depending on client need) About the Opportunity: We are hiring experienced Celonis professionals to contribute to large-scale transformation initiatives in the BFSI sector . These roles offer the chance to work on complex process mining programs, leveraging Celonis to uncover insights, optimize operations, and deliver measurable business impact. What You’ll Do: Drive end-to-end Celonis implementations: data modelling, process discovery, conformance checking, and root cause analysis. Build and optimize Celonis Data Models, Views, Knowledge Models, KPIs, and OCPM (Operational Apps) . Work with BFSI stakeholders to translate business requirements into Celonis use cases and actionable insights. Ensure technical best practices in data integration and solution design. For Lead roles: manage teams, own delivery, and drive client outcomes. What We’re Looking For: 4–12 years of experience (Senior & Lead level). Strong skills in Celonis / Process Mining platforms , SQL, and data modelling. BFSI domain experience strongly preferred. Knowledge of enterprise systems (SAP, Oracle, ServiceNow, etc.) is a plus. Strong communication and stakeholder engagement skills. Leadership experience for Lead roles.
Experience: 3–6 years Location: India (Remote/Hybrid) Role Description Our client is seeking a Process Mining Consultant with the mindset of a Business Value Architect: someone who can turn process insights into tangible business impact. You will work at the intersection of data, process, and strategy , leveraging process mining tools (Celonis preferred) to reveal inefficiencies, quantify value opportunities, and design actionable transformation roadmaps in Procurement and Supply Chain domains. This role is ideal for professionals who understand both the operational realities of S2P/O2C and the analytical power of process mining to drive measurable outcomes. Key Responsibilities Partner with business and transformation stakeholders to understand key process challenges and KPIs across procurement and supply chain. Use process mining insights to uncover root causes, quantify value leakage, and identify automation and optimization opportunities. Develop data-driven business cases and value realization frameworks , tying insights to cost reduction, cycle-time improvement, and compliance metrics. Lead value identification workshops and storyboarding sessions , articulating findings to executive audiences. Translate analytical outputs into clear transformation initiatives with defined impact and ownership. Collaborate closely with Process Mining Analysts, Data Engineers, and Transformation Leads to ensure insights are implemented and sustained. Track, measure, and communicate realized value to stakeholders throughout the transformation journey. Required Skills & Experience 3–6 years of experience in process transformation, process mining, or business value consulting . Strong understanding of Procurement and Supply Chain processes — Source-to-Pay (S2P), Purchase-to-Pay (P2P), Order-to-Cash (O2C), and related KPIs. Proven experience in identifying process inefficiencies, quantifying business impact, and designing improvement recommendations. Hands-on experience with Celonis , Signavio , or other process mining platforms. An analytical mindset with the ability to translate data into a value narrative . Excellent communication and presentation skills with comfort interacting with senior stakeholders. Preferred Qualifications Familiarity with ERP systems (SAP, Oracle) and key data structures. Exposure to automation, RPA, or digital transformation initiatives. Celonis certifications (Analyst, Business Value Architect, or Implementation Professional) are an advantage. Prior experience in consulting, CoE, or client-facing transformation roles.
Experience: 3–6 years Location: India (Remote/Hybrid) Availability: Immediate joiners preferred About the Role We are seeking a Business Value Analyst with hands-on experience in Process Mining and Value Realization within Procurement and Supply Chain Transformation initiatives. This role sits at the intersection of analytics, business consulting, and transformation delivery . The ideal candidate brings both business acumen and analytical curiosity, capable of translating process data into value stories that resonate with senior stakeholders. You’ll help clients identify improvement opportunities, build business cases, and track realized benefits through process excellence and digital insights. Key Responsibilities Partner with client stakeholders to identify challenges and value levers across Procurement and Supply Chain functions (S2P, P2P, O2C, logistics). Use process mining insights (Celonis preferred) to frame and quantify value opportunities such as working capital optimization, spend reduction, and process efficiency. Build business cases, value realization frameworks, and executive storyboards that link process data to financial impact. Collaborate with Process Analysts and Transformation Leads to ensure identified opportunities are implemented and tracked. Support client workshops, governance meetings, and presentations to communicate progress, impact, and next steps. Required Skills & Experience 3–6 years of experience in process transformation, process mining, or business value consulting , ideally in Procurement and Supply Chain domains. Strong understanding of operational KPIs (cycle time, working capital, on-time payment, touchless rate, etc.) and ability to link them to financial metrics. Hands-on familiarity with Celonis or similar process mining/process intelligence platforms. Excellent analytical, communication, and storytelling skills, able to translate data into compelling narratives. MBA or equivalent qualification in Operations, Supply Chain, or Business Analytics preferred.
Backend Engineer – AI Experience: 3 - 5 years Location: Gurugram Availability: This is an urgent requirement – Immediate joiners preferred Overview Design and ship Python-based backends that power AI-driven applications. You’ll work closely with AI engineers (LLM, RAG, and agent teams) to turn prototypes into secure, scalable, and observable production systems. The role involves building APIs, workers, and event pipelines that integrate seamlessly with enterprise environments. Key Responsibilities API Development: Build and maintain REST/gRPC APIs using FastAPI (preferred) or Flask + Pydantic , leveraging asyncio for high-performance I/O. Background Jobs & Eventing: Implement schedulers and workers ( Celery/RQ/Arq ) and event pipelines ( Kafka/RabbitMQ/Azure Service Bus ). Data Modeling: Design and tune schemas with SQLAlchemy 2.x and Alembic , optimize PostgreSQL performance, and implement caching using Redis . AI Integration: Wrap AI components (LLM endpoints, RAG services, tool/function calling) behind stable, observable interfaces with streaming and timeout management. Enterprise Integration: Connect to enterprise systems (SAP, Salesforce, ServiceNow, Workday) with OAuth2/OIDC , error handling, and idempotency safeguards. Security & Compliance: Implement identity and access management , Key Vault/Secrets Manager , input validation (JSON Schema), and maintain audit logs. Operational Excellence: Own deployment, monitoring, feature flags, blue-green/canary releases, incident response, and post-mortems with clear documentation. Must-Have Qualifications 3–5 years of backend development experience using Python . Expertise in FastAPI (preferred) or Flask + Pydantic with a strong understanding of OpenAPI/Swagger design. Solid knowledge of async programming , concurrency control, and connection management. Hands-on experience with PostgreSQL (schema design, query optimization) and Redis caching. Experience with Kafka , RabbitMQ , or Azure Service Bus for messaging/eventing. Proficiency in Docker and at least one cloud provider ( Azure preferred ; AWS/GCP acceptable). Familiarity with CI/CD (GitHub Actions or Azure DevOps) and IaC tools (Terraform/Bicep). Strong testing practice: pytest, fixtures, contract/load testing, mocks/stubs. Experience with observability tools (OpenTelemetry, App Insights, Prometheus, Grafana). Good understanding of security principles (OAuth2/OIDC, JWT, mTLS, rate limiting, and input/output validation). Good-to-Have Skills Experience building streaming chat endpoints (SSE/WebSockets) and function/tool-calling adapters for AI services. Exposure to vector databases (Azure AI Search vector, Pinecone, Weaviate, Qdrant) and content-safety integrations. Knowledge of multi-tenant controls , policy-as-code (OPA), and usage metering. Familiarity with gRPC , Dapr , and feature flag systems (LaunchDarkly, Flipt). Enterprise system integration experience (SAP OData/BAPI, Salesforce REST/Graph, ServiceNow). Core Tech Stack Python 3.11+, FastAPI, Pydantic v2, SQLAlchemy 2.x, Alembic, pytest PostgreSQL, Redis, Kafka/RabbitMQ/Azure Service Bus Docker, GitHub Actions/Azure DevOps, Terraform/Bicep OpenTelemetry, App Insights/Prometheus/Grafana Auth & Security: OAuth2/OIDC (Entra ID/other), Key Vault/Secrets Manager, API Gateway/WAF
AI Technical Architect - Agentic & Gen AI Platforms Experience : 7 - 10 years Location: Gurugram Availability : This is an urgent requirement - Immediate joiners preferred Overview Own the end-to-end architecture of production-grade AI systems with a strong hands-on orientation. You’ll design secure, scalable, and cost-efficient agentic and GenAI solutions, working closely with development teams to unblock issues, optimize performance, and drive engineering best practices. The role requires translating complex requirements into observable, resilient, and well-governed platforms. Key Responsibilities Architectural Design: Define target architectures for agentic systems (planning/reasoning/tool-calling), GenAI/RAG pipelines, and evaluation loops. Create detailed technical design documents with flow/UML/sequence diagrams and deployment topologies. Infrastructure & Cost Modeling: Estimate runtime costs and resource requirements (throughput, latency, concurrency, CPU/GPU, memory, vector index sizing, etc.) while balancing performance and cost. Technical Leadership: Lead deep-dive debugging and incident resolution; profile performance bottlenecks, fix defects, and elevate overall engineering standards. Reference Implementations: Establish reusable blueprints for agents (Semantic Kernel preferred; LangGraph, AutoGen, or CrewAI acceptable) including schema validation, memory, grounding, and multi-step planning. Retrieval Architecture: Design hybrid search and retrieval systems—covering ingestion, embeddings, ranking, query planning, caching, and freshness policies—with measurable evaluation metrics for recall, precision, and hallucination control. Production Deployment: Build and deploy on cloud (Azure preferred) using containers and IaC. Integrate identity/secrets, networking, ingress, queues, and eventing with SLIs/SLOs and error budgets. Observability & Monitoring: Implement distributed tracing, structured logging, and metrics; standardize dashboards, alerts, and replay capabilities. Evaluation Frameworks: Develop evaluation and promotion workflows: Prompt/flow testing, golden datasets, A/B experiments, regression suites, and rollout gates. Security & Compliance: Apply threat modeling, prompt-injection defenses, sandboxing, and data governance. Build policies for PII protection, red-teaming, and audit trails. Standards & Governance: Define platform standards for code quality, reusable patterns, SDKs, CI/CD templates, documentation, and architecture reviews. Cross-Functional Collaboration: Partner with product, data, and SRE teams for capacity planning, disaster recovery, multi-region setups, and post-incident analysis. Mentorship: Guide engineers through reviews, coaching, and best practice enforcement focused on reliability and maintainability. Must-Have Qualifications 7–10 years in software or AI engineering, including 4+ years in GenAI applications and 2+ years architecting production agentic systems. Strong hands-on experience with Python 3.11+ (typing, asyncio, packaging, profiling, pytest). Proven experience with agent frameworks (Semantic Kernel preferred; LangGraph/AutoGen/CrewAI acceptable) and schema-based tool/function calling. Expertise in GenAI/RAG/hybrid retrieval architectures with vector stores (e.g., Azure AI Search, pgvector, Elasticsearch, Pinecone). Deep Azure cloud architecture experience (AI Search, Service Bus, Functions, App Service, Containers, VNets, Key Vault, monitoring, storage). Strong grasp of observability and incident response (OpenTelemetry, metrics, logs, SLOs). Cost and performance optimization mindset: Capacity modeling, autoscaling, GPU/CPU utilization, and FinOps practices. Solid understanding of security and safety fundamentals: D ata isolation, content policy enforcement, and compliance. Excellent written and verbal technical communication (diagrams, ADRs, design docs, reviews). Good-to-Have Skills Multi-agent design patterns, human-in-the-loop workflows, and graph-based planners. Advanced Azure stack (AKS, App Gateway/WAF, private endpoints). Evaluation depth: red teaming, guardrails, regression frameworks, and canary rollouts. Search/data infrastructure experience (OpenSearch, Pinecone, Redis, BigQuery, Snowflake, Delta). Frontend integration for agent UIs, secure API design, and authentication/authorization best practices. DevOps/IaC proficiency (Docker, Kubernetes, GitHub Actions, Azure DevOps, Terraform/Bicep, secrets management).
Agentic AI Engineer Experience: 4–7 years Location: Gurugram Availability: This is an urgent requirement – Immediate joiners preferred Overview Design, build, and operate production-grade AI agents and tools using Agentic AI frameworks in Python. You will own agentic workflows end-to-end across planning, reasoning, tool calling, retrieval, evaluation, security, and observability. Key Responsibilities Agent Development: Implement agentic workflows in Python using an agent framework (Semantic Kernel preferred; LangGraph, AutoGen, or CrewAI acceptable). Tool Orchestration: Build reliable tool and function-calling flows with planning, memory, and conversation orchestration. Retrieval Pipelines: Develop retrieval pipelines for RAG and hybrid search, including ingestion, chunking, embeddings, ranking, query planning, grounding, and caching. Cloud Deployment: Deploy agents to production on cloud platforms, integrating identity, networking, cost controls, and runtime observability. Monitoring & Observability: Instrument applications with tracing, metrics, and logs to ensure performance and reliability. Evaluation Workflows: Establish evaluation workflows using prompt and flow tests for offline, batch, and A/B scenarios. System Hardening: Collaborate with product, data, and security teams to harden systems using rate limits, retries, timeouts, and circuit breakers. Documentation & Mentorship: Maintain clear technical documentation and provide mentorship to peers on best practices and debugging. Must-Have Qualifications 4–5 years of hands-on GenAI application experience before transitioning into agentic system work. Strong proficiency in Python 3.11+ (typing, asyncio, packaging, testing with pytest, profiling, CI/CD). Production experience with at least one agent framework ( Semantic Kernel preferred ; LangGraph/AutoGen/CrewAI acceptable). Proven expertise in tool/function calling , schema design, argument validation, and multi-step planning. Experience with retrieval systems using vector stores and hybrid search, including grounding and retrieval evaluation. Cloud deployment experience with containers, secrets/identity management, networking, monitoring, and alerting. Strong skills in observability and evaluation (tracing, metrics, log aggregation, experiment design, promotion criteria). Solid understanding of security and safety fundamentals: P rompt-injection defenses, content policy enforcement, sandboxing, and PII handling. Clear and effective technical communication with strong collaborative and review practices. Good-to-Have Skills Multi-agent patterns (task decomposition, coordinator–worker, human-in-the-loop). Deeper Azure experience, including Azure AI Search and related AI platform services. Evaluation experience with regression suites, red teaming, and guardrails . Proficiency in search/data stores (Elasticsearch, Pinecone, pgvector, Azure AI Search). Frontend integration for agent UIs with streaming/tool traces and secure API design. DevOps proficiency with Docker, Kubernetes, GitHub Actions/Azure DevOps, IaC, and secrets management.