Key Responsibilities : Designing and implementing fiber optic communication networks, including Gigabit Passive Optical LAN (GPON) systems. Troubleshooting network connectivity issues and optimizing performance for enterprise clients. Collaborating with third-party vendors for network maintenance and upgrades. Qualifications : Bachelor’s degree in Information Technology, Engineering, or related fields. Cisco Certified Network Associate (CCNA) or CCDA certification. 5+ years of experience managing complex data networks and 3+ years in network architecture. Proficiency in Layer 2 switching, RSTP, LACP, and NAC protocols Show more Show less
Job Title: Network Infrastructure Engineer Position Overview: We are seeking a skilled Network Infrastructure Engineer to join one of our clients as they are looking networking professionals. In this role, you will be responsible for designing, deploying, and managing advanced network solutions for our diverse clientele. The ideal candidate will have hands-on experience with Passive Optical Networks (PON) , fiber infrastructure , enterprise wireless solutions , and smart building networks . You will work on large-scale projects and collaborate with other experts to deliver highly secure, high-performance, and future-ready networking solutions. Key Responsibilities: Network Design and Implementation Design, implement, and maintain Passive Optical LAN (PON/GPON) networks. Deploy Wi-Fi solutions for large-scale facilities utilizing the latest 802.11 standards. Design and configure Distributed Antenna Systems (DAS) to enhance wireless coverage. Build smart building network architectures integrating IP surveillance and VoIP technologies. Technical Leadership and Problem-Solving Conduct comprehensive network planning and architecture assessments for enterprise and educational clients. Provide expert consulting on fiber infrastructure design and optimization . Troubleshoot and resolve complex network issues to ensure optimal performance. Collaborate with cross-functional teams to ensure seamless integration of network technologies. Project Management and Client Relations Lead network infrastructure projects from concept to completion. Coordinate with clients to understand their unique connectivity needs and deliver tailored solutions. Create and maintain technical documentation and provide training for clients and internal teams. Support managed services operations including network monitoring and ongoing optimization. Required Technical Skills: Core Networking Technologies Passive Optical Networks (PON) : Expertise in GPON/PON design, implementation, and troubleshooting. Fiber Infrastructure : Deep knowledge of fiber optic systems , cable management, and termination techniques. Wireless Technologies : Proficiency in Wi-Fi design and optimization using enterprise-grade equipment. Network Protocols : Strong understanding of TCP/IP , VLAN , routing , and switching protocols . Enterprise Systems Network Monitoring : Experience with network monitoring tools and performance optimization. Security Implementation : Knowledge of network security protocols and best practices for enterprise environments. VoIP Systems : Understanding of Voice over IP technologies and integration. IP Surveillance : Experience with network-based surveillance system design and implementation. Technical Tools and Platforms Proficiency with network design software and documentation tools. Experience with JavaScript and HTML for web-based network management interfaces. Familiarity with Google Analytics for network performance tracking. Knowledge of enterprise networking equipment from vendors like Cisco , Aruba , and Ruckus . Required Qualifications: Education and Certifications Bachelor's degree in Network Engineering , Computer Science , Electrical Engineering , or related technical field. Industry certifications such as CCNA , CCNP , CWNA , or equivalent. Fiber optic certification (FOA CFOT or equivalent) is a plus. Professional Experience Minimum 3-5 years of experience in network infrastructure design and implementation. Proven track record with passive optical network deployments . Experience with enterprise-level wireless network design and deployment. Background in project management and client-facing technical roles. Preferred Experience: Industry Background Experience in higher education networking environments . Background in enterprise business network solutions . Knowledge of hospitality industry networking requirements. Experience with smart building and IoT network integration . Advanced Technical Skills Experience with Tellabs Optical LAN solutions . Knowledge of Industry 4.0 networking requirements and IIoT implementations . Background in large-scale network deployments for facilities with complex connectivity needs. Experience with hybrid cloud networking and multi-data center architectures. Show more Show less
We are seeking a highly skilled and motivated Cyber Security Engineer to join our dynamic team. In this role, you will be responsible for developing, implementing, and managing security measures to protect our clients’ sensitive data and ensure compliance with regulatory requirements, including HIPAA and NIST frameworks. The ideal candidate will have a strong background in cybersecurity, with deep expertise in HIPAA compliance , NIST standards , and relevant industry best practices. Key Responsibilities: Security Design & Implementation: Design, implement, and maintain secure network systems, applications, and infrastructure for client environments, ensuring compliance with HIPAA and NIST standards. Risk Assessment & Vulnerability Management: Perform regular risk assessments and vulnerability testing to identify potential threats to systems and data. Develop and implement remediation strategies. Compliance & Documentation: Ensure all security processes and activities are aligned with HIPAA, NIST, and other relevant industry standards. Maintain comprehensive documentation related to security policies, incidents, and procedures. Incident Response & Monitoring: Monitor systems for security breaches and respond to security incidents swiftly, following best practices for remediation. Lead the investigation and analysis of security incidents, including forensic analysis. Policy & Process Development: Develop and implement security policies, procedures, and practices that align with HIPAA and NIST guidelines. Collaborate with other teams to ensure that security is integrated across all operations. Security Audits & Reporting: Perform periodic security audits and assessments to evaluate the effectiveness of security controls. Prepare reports for internal stakeholders and regulatory bodies as needed. Collaboration & Training: Work closely with IT, operations, and management teams to ensure cybersecurity best practices are followed across the organization. Provide training and awareness programs on security protocols and compliance. Required Skills & Experience: Proven experience in cybersecurity roles with a focus on HIPAA compliance and NIST cybersecurity frameworks . In-depth knowledge of industry regulations, including HIPAA, NIST, PCI DSS, and other security standards . Strong experience with security technologies (firewalls, intrusion detection/prevention systems, VPNs, etc.). Familiarity with cloud security platforms and services (AWS, Azure, Google Cloud). Hands-on experience with security monitoring tools and SIEM solutions (Splunk, Sentinel, etc.). Expertise in encryption technologies, vulnerability management, and identity access management. Proficiency in security best practices and disaster recovery planning. Strong analytical and problem-solving skills with attention to detail. Ability to work under pressure, manage multiple tasks, and meet deadlines. Preferred Qualifications: Certified Information Systems Security Professional (CISSP) Certified Information Security Manager (CISM) Certified HIPAA Professional (CHP) Experience with incident management and recovery procedures. Familiarity with security automation and orchestration tools. Show more Show less
We are looking for a visionary and technically skilled Lead AI Engineer – Machine Learning to spearhead the design, development, and deployment of advanced machine learning solutions. In this leadership role, you will guide a team of AI/ML engineers, contribute hands-on to critical technical challenges, and collaborate with cross-functional teams to deliver impactful AI products. This role is ideal for someone who thrives at the intersection of innovation, engineering rigor, and business value. Key Responsibilities Technical Leadership : Lead the architecture, development, and deployment of machine learning models and AI systems across a range of use cases. Model Development : Design, train, and optimize supervised, unsupervised, and deep learning models using frameworks like PyTorch, TensorFlow, and XGBoost. Mentorship : Coach and mentor a team of ML engineers and data scientists; foster a culture of innovation, ownership, and continuous learning. Project Management : Drive planning, execution, and delivery of AI/ML projects, ensuring alignment with business objectives and technical feasibility. System Design : Architect scalable, secure, and high-performance ML pipelines and services using cloud-native tools and MLOps best practices. Collaboration : Work closely with product managers, data engineers, and DevOps teams to translate business problems into AI-driven solutions. Code Quality & Governance : Establish standards for model quality, reproducibility, documentation, versioning, and monitoring. Innovation : Stay current with research and industry trends in ML/AI, evaluate new tools, and introduce state-of-the-art solutions where applicable. Required Skills and Experience Education : Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related technical field Experience : 6–10+ years of experience in software engineering or AI/ML, with at least 2+ years in a technical leadership role Technical Expertise : o Strong programming skills in Python and experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face o Deep understanding of ML fundamentals: feature engineering, model evaluation, optimization, and deployment o Proficiency in designing and building data pipelines, real-time processing, and model inference systems o Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines o Familiarity with MLOps tools (e.g., MLflow, DVC, Airflow, SageMaker) and vector databases (e.g., FAISS, Pinecone) Preferred Qualifications Hands-on experience with LLMs, RAG pipelines, or generative AI applications Familiarity with agentic AI frameworks (LangChain, CrewAI, AutoGPT) Domain expertise in fintech, healthtech, HR tech, or industrial automation Contributions to open-source AI/ML projects or published research Knowledge of responsible AI practices, explainability (XAI), and model governance Soft Skills Strong leadership and team-building skills Clear and persuasive communication with both technical and non-technical stakeholders Strategic thinker with attention to detail and a bias for action Show more Show less
Experience: Minimum of 5 years of experience in Radius ERP implementation, configuration, and support. Proven experience in Crystal Reports development and customization. Experience in working with ERP modules such as finance, sales, inventory, and procurement is a plus. Strong knowledge of ERP system architecture and data structures. Technical Skills: Expertise in Crystal Reports design and development. Experience with Radius ERP or similar ERP platforms. Proficient in SQL and other query languages to manipulate and extract data from databases. Familiarity with ERP system integration practices and tools. Strong troubleshooting and problem-solving abilities in ERP systems. Soft Skills: Excellent communication skills for client-facing roles. Strong analytical and reporting skills. Ability to work independently and in a team-oriented, collaborative environment. Strong attention to detail and organizational skills. Show more Show less
We are seeking a talented and experienced Data Engineer with a strong background in Microsoft Fabric to design, develop, and maintain robust, scalable, and secure data solutions. You'll play a crucial role in building and optimizing data pipelines, data warehouses, and data lakehouses within the Microsoft Fabric ecosystem to enable advanced analytics and business intelligence. Key Responsibilities Design and Development: Architect, design, develop, and implement end-to-end data solutions within the Microsoft Fabric ecosystem, including Lakehouse, Data Warehouse, and Real-Time Analytics components. Data Pipeline Construction: Build, test, and maintain robust and scalable data pipelines for data ingestion, transformation, and curation from diverse sources using Microsoft Fabric Data Factory (Pipelines and Dataflows Gen2) and Azure Databricks (PySpark/Scala) . Data Modeling & Optimization: Develop and optimize data models within Microsoft Fabric, adhering to best practices for performance, scalability, and data integrity (e.g., dimensional modeling). ETL/ELT Processes: Implement efficient ETL/ELT processes to extract data from various sources, transform it into suitable formats, and load it into the data lakehouse or analytical systems. Performance Tuning: Continuously monitor and fine-tune data pipelines and processing workflows to enhance overall performance and efficiency, especially for large-scale datasets. Data Quality & Governance: Design and implement data quality, validation, and reconciliation processes to ensure data accuracy and reliability. Ensure data security and compliance with data privacy regulations. Collaboration: Work closely with data architects, data scientists, business intelligence developers, and business stakeholders to understand data requirements and translate them into technical solutions. Automation & CI/CD: Implement CI/CD pipelines for data solutions within Azure DevOps or similar tools, ensuring automated deployment and version control. Troubleshooting: Troubleshoot and resolve complex data-related issues and performance bottlenecks. Documentation: Maintain comprehensive documentation for data architectures, pipelines, data models, and processes. Stay Updated: Keep abreast of the latest advancements in Microsoft Fabric, Azure data services, and data engineering best practices. Required Skills & Qualifications Bachelor's degree in Computer Science, Information Technology, or a related quantitative field, or equivalent practical experience. 6+ years of hands-on experience as a Data Engineer or Data Architect. Mandatory hands-on experience with Microsoft Fabric , including its core components such as Lakehouse, Data Warehouse, and Data Factory (Pipelines, Dataflows Gen2), and Spark notebooks. Strong expertise in Microsoft Azure data services, including: Azure Databricks (PySpark/Scala for complex data processing and transformations). Azure Data Lake Storage Gen2 (for scalable data storage). Azure Data Factory (for ETL/ELT orchestration). Proficiency in SQL for data manipulation and querying. Experience with Python or Scala for data engineering tasks. Solid understanding of data warehousing concepts, data modeling (dimensional, relational), and data lakehouse architectures. Experience with version control systems (e.g., Git, Azure Repos). Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication (written and verbal) and interpersonal skills to collaborate effectively with cross-functional teams.
We are seeking a highly experienced Senior Accountant to lead and manage payroll and payment operations for our consultants, both in the US and India . The ideal candidate will have a strong background in IT staffing and services accounting, with hands-on experience in managing consultant payments, contractor CTCs, India payroll compliance, and US staffing payroll cycles. Key Responsibilities: 1. Payroll & CTC Management Process and reconcile monthly payrolls in India and bi-weekly payrolls for US-based consultants Handle CTC structuring, variable pay, reimbursements, and statutory deductions (PF, ESI, PT, etc.) Ensure compliance with Indian tax laws (TDS, GST) and US tax regulations (W-2, 1099, etc.) 2. Consultant Payments Manage accurate and timely consultant invoicing and payments in India and the US Maintain contracts, timesheets, and payment schedules Work closely with HR and delivery teams to ensure payment accuracy and adherence to agreements 3. Accounting and Compliance Prepare and maintain general ledger entries, reconciliations, and journal postings Ensure GST filings, TDS returns, and US compliance filings are accurate and timely Work with external accountants and auditors for monthly and annual closings 4. Financial Operations Manage accounts payable and receivable processes for staffing operations Track client payments and handle escalations on delays Maintain financial reports, forecasts, and variance analyses 5. Tools & Systems Work on Zoho Books , Zoho Expenses, QuickBooks, or other accounting software Maintain accurate payroll and finance records on internal platforms Generate custom reports for leadership using spreadsheets and accounting dashboards Qualifications: Bachelor's or Master’s in Commerce, Accounting, or Finance 5+ years of accounting experience in the IT staffing industry (India & US) Strong knowledge of Indian payroll and taxation laws and US staffing/payroll processes Proficient in accounting software ( Zoho Books, QuickBooks, etc.) and Excel Familiarity with consultant/vendor agreements, invoicing practices, and time-sheet-based billing Spanish speaking is added advantage, but not mandatory Preferred Skills: Experience handling multi-entity accounting (US and India subsidiaries) Knowledge of Tally, ADP, Paychex, or other payroll platforms Experience with US client billing cycles, including net terms, PO processes, and collections Ability to work in fast-paced, remote, and global teams
We are seeking a Fractional AI Data Scientist with deep healthcare analytics experience to support the design of agentic AI workflows , build LLM-powered tools , and structure data pipelines from EHRs, payer systems, and clinical sources. Your work will power intelligent automations for Eligibility Verification , Pre-Authorization , Risk Stratification , and more. You’ll work closely with solution architects, automation engineers, and clinical SMEs to ensure healthcare data is structured, insightful, and responsibly applied in AI contexts. 📌 *Key Responsibilities* Build and fine-tune AI/ML/NLP models tailored to healthcare datasets (structured & unstructured). Design intelligent prompts and evaluation pipelines using LLMs (OpenAI, Azure OpenAI). Work with healthcare data from Epic, Cerner, Availity, and claims sources to build actionable insights. Partner with Azure engineers or Workato specialists to build data-driven agentic workflows. Cleanse and transform healthcare data (FHIR, HL7, CSV, SQL) for modeling and automation triggers. Ensure all solutions comply with HIPAA and ethical AI best practices. Visualize outcomes for business and clinical teams, and document models for reuse. 🧠 *Required Skills & Experience* 5+ years in data science with at least 2+ in healthcare-specific roles. Experience with clinical data (EHR, EMR, payer claims) and healthcare ontologies (ICD-10, CPT, FHIR). Hands-on with LLM tools (OpenAI, LangChain, RAG frameworks) for classification, summarization, or chatbot use cases. Strong proficiency in Python, SQL, Pandas, and ML/NLP frameworks. Familiarity with PHI/PII handling and compliance frameworks like HIPAA. ⭐ *Preferred Qualifications* Azure AI stack (OpenAI, Data Factory, Synapse) Experience in conversational AI, intake automation, or clinical note summarization Worked in or with a digital health, healthtech, or AI startup environment Understanding of automation platforms (Workato, Power Automate) 🛠️ *Tech Stack* Languages: Python, SQL, PySpark AI/ML: Scikit-learn, OpenAI, Hugging Face, LangChain, Transformers Data: Azure Data Factory, Snowflake, BigQuery, Postgres Integration: FHIR APIs, REST APIs, Postman Visualization: Power BI, Streamlit, Tableau Compliance: HIPAA, De-ID, RBAC
🧩 *About the Role* We are looking for a Fractional AI Agentic Solutions Architect with deep healthcare experience to help design and implement intelligent automation workflows around Eligibility Verification and Pre-Authorization . You will leverage platforms like Workato , Azure , Epic/Cerner , and Availity , while incorporating LLMs and modern agent orchestration strategies to streamline payer-provider workflows. As a fractional contributor, you'll work on high-impact sprints with product, automation, and revenue cycle teams to rapidly deliver and iterate solutions. 📌 *Key Responsibilities* Lead automation discovery, solution design, and agentic architecture for healthcare workflows. Build and optimize no-code/low-code automation flows using Workato, Azure Logic Apps, or similar tools. Integrate EMRs/EHRs (Epic, Cerner) and payer platforms (Availity, PVerify) via secure APIs and FHIR. Leverage OpenAI or Azure OpenAI APIs to power conversational agents and workflow triggers. Create MVP prototypes, document reusable logic, and train internal teams for continuity. Participate in standups or sprint planning for engagements when needed. Provide guidance on best practices for compliance, data handling, and automation testing. 🧠 *Required Skills & Experience* 5+ years in healthcare technology, automation, or API-based systems integration. Proven success in delivering automation projects in fractional or consulting capacity. Familiarity with eligibility verification (270/271), prior auth workflows, and EHR APIs. Hands-on with Workato, Azure, or similar integration platforms. Experience with LLM-based orchestration or intelligent agents a strong plus. Strong communication skills and client-facing experience in agile teams. ⭐ *Preferred Qualifications* Workato Pro I/II or Azure Integration Architect certified Prior experience with RevOps or Patient Access use cases Exposure to clinical workflows or payer-side systems Familiar with SaaS delivery or digital health startup models 🛠️ *Tech Stack* Workato, Azure Logic Apps, Python Epic/Cerner APIs, Availity, PVerify FHIR, HL7, REST/JSON OpenAI, LangChain, Postman, GitHub Notion, Slack, Jira for async collaboration
The Senior Integration Engineer will design, develop, and implement automations & integrations between various systems and applications. This role will collaborate with cross-functional teams to understand business requirements, translate them into efficient and scalable integration solutions, and drive continuous improvement in automation processes. The ideal candidate will have a strong understanding of enterprise systems, APIs, cloud-based technologies, and integration architecture. What You’ll Do ● Develop, design, and implement common architecture patterns, including microservices, event-driven architecture, and service-oriented architecture ● Design, develop, and implement integrations using the Workato platform to connect various systems and applications ● Collaborate with business stakeholders and technical teams to gather automation & integration requirements and translate them into technical specifications ● Build and maintain integration workflows, recipes, and connectors within the Workato platform ● Perform testing and debugging of integrations to ensure accuracy, reliability, and performance ● Monitor and troubleshoot integration issues, providing timely resolution and support ● Document integration processes, workflows, and configurations for future reference ● Stay up-to-date with the latest trends and best practices in integration technologies and tools ● Collaborate with cross-functional teams to ensure seamless integration of systems and applications ● Provide technical guidance and support to team members and end-users What You’ll Need ● Minimum qualifications ● 5+ years of proven experience as a Workato Integration Engineer or similar type of integration role ● Bachelor's degree in Computer Science, Information Systems, or an equivalent combination of education and experience ● Proficiency in at least one scripting language (Python, JavaScript, or similar) ● Experience with version control systems (Git) and CI/CD pipelines ● Strong SQL and database management skills across multiple database systems ● Experience with JSON, XML, and other data interchange formats Preferred qualifications ● Strong knowledge of integration concepts, methodologies, and best practices ● Proficiency in Workato platform and its features, including connectors, recipes, and workflows ● Strong proficiency in RESTful APIs and web services, with a deep understanding of API design principles and best practices ● Knowledge of integration patterns, data transformation, and ETL processes ● Experience in implementing integration projects, including complex enterprise systems and cloud business apps ● Familiarity with cloud-based systems and applications, such as Workiva, Salesforce, Marketo, Anaplan/Adaptive, NetSuite/SAP/Oracle, FinancialForce/Open Air, Gainsight, Xactly, etc ● Proactive in problem-solving, ready to take on additional initiatives and responsibilities as they arise ● Demonstrated success on high performing integration engineering teams ● Excellent written and oral communication skills, conveying complex technical concepts to non-technical audiences ● Ability to work independently and manage multiple projects simultaneously ● Knowledge of other integration platforms, such as MuleSoft or Dell Boomi, is a plus
We are seeking a highly skilled VMware Specialist to support, optimize, and troubleshoot our virtual infrastructure. The ideal candidate will have deep technical expertise in VMware products, proven experience in enterprise-level virtualization, and the ability to work independently in a freelance capacity. Key Responsibilities VMware Infrastructure Management Install, configure, and maintain VMware ESXi hosts and vCenter servers. Manage virtual machines (VMs), storage, and networking within VMware environments. Perform system upgrades, patch management, and capacity planning. Optimization & Troubleshooting Diagnose and resolve VMware performance, storage, and connectivity issues. Optimize virtual environments for performance, scalability, and security. Project & Migration Work Plan and execute VM migrations, including P2V (Physical-to-Virtual) and V2V (Virtual-to-Virtual). Assist in data center consolidation and disaster recovery projects. Security & Compliance Implement and maintain security policies for VMware infrastructure. Ensure compliance with relevant IT standards and best practices. Documentation & Knowledge Transfer Prepare technical documentation for configurations, procedures, and troubleshooting guides. Provide training or handover sessions to internal IT teams. Required Skills & Qualifications Technical Expertise: Strong knowledge of VMware vSphere, ESXi, vCenter, vSAN, and NSX. Proficiency with VMware tools such as vRealize Operations, Site Recovery Manager (SRM), and Horizon (optional). Experience with enterprise storage, networking, and backup solutions in virtualized environments. Experience: [X]+ years of hands-on VMware administration in enterprise settings. Experience with virtualization in cloud or hybrid environments (AWS, Azure, GCP is a plus). Certifications (Preferred): VMware Certified Professional (VCP) or higher. Soft Skills: Strong problem-solving skills with a proactive mindset. Ability to work independently with minimal supervision. Excellent communication and documentation skills.
Key Responsibilities • Generative AI Solution Design: Lead the architecture of complex GenAI systems, including Large Language Model (LLM) selection, fine-tuning strategies, and the design of Retrieval-Augmented Generation (RAG) pipelines. • Technology Stack Expertise: Build scalable solutions using cloud AI services (e.g., Azure AI, AWS Bedrock) and open-source frameworks like LangChain and LlamaIndex. Write efficient Python code for data processing and APIs. • Model and System Optimization: Enhance model performance, scalability, and cost-efficiency through prompt engineering, model quantization, and efficient data pipeline design. • Vector Database Management: Design and implement solutions using vector databases (e.g., Pinecone, Weaviate, Chroma) for efficient similarity search in RAG systems. • MLOps for GenAI: Implement CI/CD pipelines and containerization (Docker, Kubernetes) for the continuous integration and deployment of Generative AI models. • Technical Leadership & Innovation: Provide expert guidance to development teams on GenAI best practices. Stay updated on the latest trends in LLMs and diffusion models, and drive proof-of-concept projects and pilot implementations. • Stakeholder Collaboration: Work with cross-functional teams to align GenAI solutions with business goals and effectively communicate highly technical concepts to non-technical stakeholders.
Core Responsibilities Design and Implementation : Architect, build, and maintain cost-efficient, secure, and scalable AWS cloud environments to meet business needs. Collaboration : Work closely with development and cross-functional teams to gather requirements and translate them into efficient cloud solutions. Optimization : Regularly optimize cloud infrastructure for performance, security, and cost efficiency, using AWS best practices. Cloud Migration : Lead efforts to modernize and migrate legacy systems and data to AWS, minimizing downtime and maintaining data integrity during transitions. Technical Leadership : Mentor and guide teams on AWS architecture, staying updated with the latest AWS innovations and integrating new services when appropriate. Automation and DevOps : Implement Infrastructure as Code (IaC) using tools like CloudFormation or Terraform; enable CI/CD and automation in cloud operations. Security and Governance : Ensure compliance with AWS security and governance best practices, proactively managing risks and vulnerabilities. Required Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field. 5+ years of experience in cloud architecture (particularly AWS), including strong expertise in AWS services such as EC2, S3, RDS, Lambda, and VPC. Experience with Infrastructure as Code tools (CloudFormation, Terraform), containerization (Docker, Kubernetes), and CI/CD pipelines. AWS certifications (e.g. AWS Certified Solutions Architect or higher) are highly beneficial and often required. Essential Skills Deep understanding of AWS technologies and architecture principles. Excellent problem-solving, analytical, and communication skills, with the ability to work with both technical and non-technical stakeholders. Ability to assess business needs and translate them into robust AWS-based solutions. Typical Duties Solution design, technical presentations, and architectural analysis for the projects. Continuous monitoring and troubleshooting of AWS cloud systems, implementing strategies to eliminate bottlenecks. Research and recommend new AWS services or third-party platforms to support evolving business needs.
Key Responsibilities Develop and integrate Glean APIs for search, chat, and workflow automation with data sources ranging from Google Drive to Slack. Engineer robust solutions across the stack, including query understanding, document processing, and adapting models to specific organizational domains. Invent new signals to personalize and improve search results, combining LLMs and traditional search engines to answer complex organizational questions. Automate business processes by orchestrating multi-step workflows and building agents that synthesize and act on enterprise data. Work collaboratively with product, design, and customer-facing teams to understand needs and deliver impactful features. Required Skills Proven proficiency in Python, Go, Java, or C++ for building production-ready code and machine learning models. Expertise with search, NLP, recommendation systems , or similar large-scale ML technologies. Strong analytical and data-handling skills, with the ability to design and evaluate experiments that influence product direction. Experience working in customer-focused, cross-functional, and collaborative engineering environments.
Fractional Glean Architect – Confidential Neighbourhood Community Platform About the Role Our client is an established U.S.-based social platform for neighbourhoods and local communities, fostering trusted, location-verified interactions among neighbours, civic organizations, and local businesses. This fractional (part-time) architect engagement will design and guide the integration of Glean’s Work AI platform (Search, Assistant, and Agents) into the company’s systems. The role is remote-first (with occasional onsite collaboration as needed), offering flexibility. As a contractor-level position, you will act as a technical leader working across engineering, IT, and business teams to build a scalable knowledge-discovery infrastructure that powers AI-driven search and automation. Responsibilities Architect Knowledge Discovery: Design a scalable architecture for enterprise search and knowledge discovery using Glean’s hybrid search capabilities and knowledge-graph techniques. Build semantic layers (metadata, taxonomies, knowledge graphs) and Retrieval-Augmented Generation (RAG) pipelines to ensure the AI Assistant generates accurate, context-rich answers from internal data. Orchestrate AI Agents: Lead the development and orchestration of intelligent agents using Glean Agents. Define workflows for autonomous tasks (e.g., routing requests, summarizing information) and configure event-driven triggers. Ensure agents always access up-to-date company data to deliver accurate, actionable insights. Integrate Systems and Data: Connect Glean with the platform’s data sources and applications using APIs, connectors, and custom integration code. Configure out-of-the-box connectors to index all relevant content securely. Work with infrastructure teams to build secure data pipelines, ETL processes, and integration patterns. Ensure Security & Governance: Implement enterprise-grade security for the Glean deployment. Define data governance policies, permission models, and compliance standards. Align Glean’s configuration with relevant compliance frameworks (SOC 2, GDPR, HIPAA) and enforce audit logging, SSO, and user governance. Cross-team Collaboration: Serve as a liaison between business stakeholders, product owners, and engineering teams. Gather requirements, translate them into technical specifications, and guide development teams. Provide clear documentation, training, and support for ongoing adoption and maintenance. Requirements Architecture & Technical Expertise: 5+ years of experience in technical architecture or engineering leadership, with expertise in enterprise search, knowledge management, or data platforms. Experience with semantic search, knowledge graphs, or retrieval-based systems is a strong plus. Glean/AI Platform Experience: Hands-on experience with Glean Work AI (Search, Assistant, Agents) or similar enterprise search/AI assistant platforms. Familiarity with hybrid search (semantic + lexical), knowledge graphs, and AI agent frameworks. Integration Skills: Proficiency with REST APIs, webhooks, and ETL/ELT pipelines to integrate structured and unstructured data. Experience with modern data/storage systems (cloud storage, databases, CRM, collaboration tools) and their security models. Security & Governance: Strong understanding of enterprise security, identity management, encryption, and compliance standards (SOC 2, GDPR, HIPAA). Communication & Leadership: Excellent communication skills, able to explain complex AI-driven solutions to non-technical audiences. Proven ability to work effectively in a fractional, consulting capacity with minimal oversight. Why This Role Matters This architect role directly supports the platform’s mission to strengthen local communities. By enabling fast, accurate access to information and automating routine tasks, you’ll help ensure employees and users can focus on meaningful engagement rather than searching for answers. Integrating Glean’s Work AI empowers teams with an intelligent assistant and autonomous agents, driving efficiency, trust, and stronger neighborhood connections. Note: This is a remote-first, fractional (part-time) contractor role supporting a confidential hyperlocal community platform. Company-specific details are confidential and will be shared during the interview process.
The Workday HCM Architect will lead the implementation, configuration, and ongoing optimization of Workday HCM modules, serving as an expert resource and strategic partner for HR, Payroll, and IT teams. This role translates business requirements into robust Workday solutions and ensures seamless system integration and support across the organization. Key Responsibilities Design, configure, test, and deploy Workday HCM modules (Core HCM, Compensation, Benefits, Absence, Time Tracking, Payroll, Recruiting, etc.) to meet evolving business needs. Lead workshops and working sessions to gather, analyze, and document requirements, recommending process improvements and system enhancements. Develop and maintain integrations between Workday and other business systems or vendors using Workday Studio and related technologies. Serve as a consultative partner to HR and other business functions , providing expertise on HR process design and Workday best practices. Troubleshoot, resolve, and optimize HRMS technical or data issues, implementing enhancements per change control guidelines. Guide teams and mentor junior consultants , ensuring effective solution delivery and continuous improvement within the Workday ecosystem. Manage project scope, quality, and timelines for Workday HCM initiatives, acting as project lead where required. Ensure compliance with audit controls and data integrity across all HR systems. Required Skills & Qualifications 5+ years’ experience in Workday HCM implementation and support, with in-depth functional expertise across multiple modules. Advanced skills in Workday configuration, reporting, integrations, and data mapping. Excellent communication and stakeholder management abilities, capable of influencing business leaders and collaborating cross-functionally. Strong problem-solving, analytical, and organizational skills, with a proven track record managing concurrent projects. Bachelor’s degree in Information Systems, Business, HR, or related field (preferred).