OTSI

Role Description We are seeking a highly technical, client-facing AI & Data Solutions Architect to lead enterprise engagements, drive presales strategy, and facilitate architecture design sessions. You will serve as a trusted advisor to our clients, architecture complex data modernization and AI adoption strategies. While this role heavily emphasizes client interaction, executive presentation, and architectural design, it requires a strong technical practitioner who is fully capable of engaging in hands-on development and technical problem-solving to support global delivery teams and ensure project success. Key Responsibilities - Strategic Presales & Solution Architecture: Act as the lead technical strategist during sales cycles. Partner with Sales to shape deal strategy, facilitate architecture design sessions with C-suite stakeholders, define solution scope, and build compelling business and technical narratives. - End-to-End Architecture Design: Architect scalable, cloud-native software solutions and modern data platforms (e.g. Microsoft Fabric, Databricks, Snowflake) aligned with enterprise analytics and AI initiatives. - Delivery Oversight & Hands-On Execution: Provide technical leadership to global development and data engineering teams. Serve as the definitive technical escalation point who can configure systems, develop scripts, or build proofs-of-concept to ensure the delivery of critical project milestones. - Advanced AI Strategy: Design robust AI/ML solutions that advance beyond foundational LLM integrations. Guide clients in implementing Agentic AI workflows, autonomous orchestration, and secure enterprise integrations utilizing frameworks such as the Model Context Protocol (MCP). - Governance & Optimization: Ensure architectural consistency, quality, and strict adherence to enterprise AI governance and security frameworks throughout the SDLC. Optimize cloud architectures across Azure, AWS, and GCP to balance innovation, performance, and cost efficiency. - Research & Development: Stay up to date with AI/ML technologies, advancements, and trends. Provide insights to guide internal R&D efforts on company products, tools, and accelerators outside of client engagements. Qualifications - 8+ years in client-facing presales, consulting, or solution architecture roles. - Proven ability to facilitate executive discussions, translate complex technical concepts into clear business value, and drive consensus among enterprise stakeholders. - Exceptional white boarding and communication skills. - Demonstrated capability to dynamically design and articulate modern data architectures for both engineering leadership and business executives. - Experience mentoring development teams and partnering seamlessly across a global delivery model. Requirements - 7+ years designing cloud-native architectures (Azure, AWS, or GCP). - Deep architectural knowledge of modern data platforms (preferably Databricks or Microsoft Fabric) and distributed compute frameworks (Apache Spark). - Strong architectural experience designing AI/ML solutions, vector databases, and RAG architectures. - Expertise in developing Agentic AI systems and workflow automation utilizing frameworks such as LangChain and the Model Context Protocol (MCP). - Retained hands-on engineering proficiency with a strong command of Python and SQL, alongside experience in highly scalable backend languages like Java or Go. - Active utilization of AI productivity tools (e.g., GitHub Copilot, Claude) to accelerate development. - Solid understanding of containerization (Docker, Kubernetes) and CI/CD pipelines. - Expertise in designing robust data pipelines, semantic models, and API integrations that seamlessly connect AI capabilities within complex, legacy enterprise environments (e.g., SAP, Oracle).

Role Description This is a remote position. Object Technology Solutions, Inc (OTSI) has an immediate opening for a Java Developer. MAJOR RESPONSIBILITES: - Own performance, scalability, ingestion, and system reliability. Key Responsibilities - Build and optimize: - MDM services (APIs, processing engines) - Improve: - Matching response time (<2 sec target) - Design: - High-volume data ingestion pipelines - Optimize: - Bulk load strategies - Indexing & queries - Implement: - CI/CD pipelines - Monitoring & logging Qualifications - Bachelors degree with relevant experience in skills. Requirements - Strong Java backend development. - Experience with: - Large-scale data systems (50M–200M+ records) - Performance tuning (queries, indexing, APIs) - Strong SQL & database optimization.

This is a remote position. Object Technology Solutions, Inc (OTSI) has an immediate opening for an IBM MDM ARCHITECT IBM MDM ARCHITECT (REMOTE ) MAJOR RESPONSIBILITES: · Own data quality, matching logic, and golden record creation · Strong experience in Master Data Management (MDM) · Hands-on with: · Matching & deduplication strategies · Golden record creation · Experience tuning: · False positives / false negatives · Knowledge of: · Phonetic matching (Soundex, etc.) · Data quality rules · Key Responsibilities · Define and tune matching algorithms · Identify and fix: · Duplicate records · Data inconsistencies · Work with business teams to: · Define matching rules · Handle edge cases · Validate new data sources and ingestion logic · Define data quality metrics & SLAs · Good to Have · Experience with tools like: · Informatica MDM / Reltio / IBM MDM · Exposure to SQL QUALIFICATIONS AND EXPERIENCE · The right fit is looking for IBM MDM (virtual) guy who is able to move on-prem MDM to cloud with kubernetes and they would need Java knowledge · Conduct comprehensive reviews of the current MDM ecosystem, including matching and linking algorithm performance, duplicate and suspect processing, and custom extensions. · Evaluate and enhance logging, monitoring, backup, and recovery processes to ensure system reliability and resiliency. · Assess and optimize transaction/query SLAs and index performance, identifying and addressing known issues such as bucket overflows and bulk-load mechanism gaps (including DataStage constraints). · Design, develop, and maintain Java code for MDM algorithms, data processing, and integration components, ensuring code is performant, scalable, and maintainable. · Refactor and optimize existing Java code, and write unit, integration, and system tests for all Java components. · Adjust matching algorithm thresholds to minimize false positives/negatives and add/test new matching attributes (e.g., email + last name, phone combinations). · Assess and implement phonetic matching techniques (e.g., Soundex), and lead feasibility studies to determine the need for single or multi-algorithm approaches for different business lines. · Perform sample pairing for new data sources, collaborating with business teams to identify edge cases and refine algorithm behavior, including store-identifier-based auto-matching where applicable. · Review and enhance frequency-based and dynamic bucketing strategies, assess passive execution options to minimize production impact, and validate interactions with STR tables and existing buckets. · Develop and document bulk load strategies, including ingestion options with and without entity management/event handlers; explore disabling matching for high-volume ingestion scenarios (e.g., 200M+ records) and evaluate alternative ingestion patterns beyond API-only approaches. · Capture and report on metrics, SLAs, and trade-offs for each ingestion strategy. · Target <2 seconds for matching response time through iterative tuning, must-gather data analysis, and leveraging load testing tools (e.g., JMeter); review reconciliation SLAs as part of ongoing optimization. · Address deployment challenges such as outages and unpredictable environment behaviors; explore and implement CICD or improved deployment automation; review and optimize configuration, code, and deployment steps for efficiency. · Plan and implement Auth/PingFed-based authentication, reduce reliance on process IDs and passwords, automate credential rotation, and maintain a dedicated 'Security' category in the scope documentation. · Ensure all code adheres to coding standards and guidelines. SKILLS AND ABILITIES REQUIRED · Java 21 (core and advanced), including object-oriented programming and multithreading · Master Data Management (MDM) platforms and tools · Algorithm development for data matching, linking, and deduplication (including phonetic algorithms like Soundex) · Data integration frameworks and ETL tools (e.g., DataStage) · SQL and database optimization (indexing, query tuning, bulk operations) · Performance tuning and system health monitoring for large-scale data systems · Logging, monitoring, backup, and recovery solutions · Load testing tools (e.g.,JMeter) · CI/CD pipeline tools and deployment automation (e.g., Jenkins, GitHub) · Secure coding practices, including Auth authentication and credential management · Micro services API development and integration (e.g., RESTful services) · Unit, integration, and system testing frameworks (e.g., JUnit, Mockito) · Documentation tools (Confluence, GitHub, DX Guides) · MDM Modernization · Migration from on-premises infrastructure to the cloud · Adoption of containerization for deployment and scalability

Role Description We are seeking a Solutions Architect with deep hands-on expertise across software engineering, data platforms, AI and ML, and cloud architecture. This role blends technical leadership, presales strategy, and hands-on solution design, partnering closely with Sales, Product, and Delivery teams to shape high value customer opportunities and modernize enterprise data and AI ecosystems. - Design end-to-end software solutions including application architecture, integration patterns, and cloud native design for client projects and in-house R&D initiatives. - Architect and deliver modern data platforms using Microsoft Fabric, Databricks, Snowflake, or hybrid combinations, including data warehouses, semantic models, and enterprise data architectures aligned to analytics and AI use cases. - Develop cloud architectures across Azure, AWS, and GCP balancing innovation, scalability, and cost efficiency. - Provide hands-on technical leadership across development, data engineering, AI and ML, and analytics workloads. - Architect and implement AI/ML solutions using popular LLM ecosystems including building/fine-tuning models, developing AI-powered applications, and integrating generative AI into enterprise workflows. - Lead the technical evaluation phase during sales cycles partnering with Sales and Presales to shape deal strategy, define solution scope, and build compelling technical narratives. Qualifications - 5+ years designing cloud-native software solutions and architectures on Azure, AWS, or GCP. - 6+ years working with Big Data technologies such as Apache Spark, Hadoop, Cassandra, and distributed compute frameworks. - Hands-on experience designing data platforms using Databricks, Microsoft Fabric, and Snowflake (emphasis on Fabric and Databricks), including data modeling, data warehousing, and enterprise data architecture. - Deep knowledge of the SDLC, engineering best practices, and modern development patterns. - Technical experience designing, developing, and integrating AI/ML solutions including large language models (OpenAI, Llama, custom models), vector search, prompt engineering, and building AI-powered applications. Requirements - 5+ years in client-facing presales, consulting, or solution architecture roles. - Strong ability to translate complex technical concepts into clear, compelling business value with executive presence across technical and business stakeholders. - Experience collaborating with Sales and Presales to shape opportunities, define architectures, and support deal strategy. - Strong storytelling, communication, and whiteboarding skills. Benefits - Technical experience with Power Platform (Power Apps, Power Automate, governance) and Power BI (data modeling, DAX, semantic models). - Coding experience in Python, Spark, or Scala. What You Bring - A blend of software engineering depth, data platform expertise, and hands-on AI and ML capability. - A consultative mindset with the ability to influence strategy, architecture, and customer outcomes. - Comfort operating across presales, architecture, hands-on development, and customer advocacy. - Passion for modern data, AI, and cloud technologies.