Top Hybrid Jobs in Dallas-Fort Worth, TX

Design, build, and maintain secure cloud-based frameworks to host and deploy ML models using Python and AWS. Collaborate with data scientists and platform teams to productionize models, apply MLOps/LLMOps practices, use AI-assisted development tools, ensure CI/CD, resiliency, and operational stability, and contribute to engineering communities and architecture/design artifacts.

Manage and deliver multiple projects supporting JPMorgan Private Client, collaborating across business lines to improve client experience. Lead project activities, set priorities, perform root-cause analysis, recommend solutions, document best practices, produce management reports and executive presentations, escalate and resolve risks/issues, and drive continuous improvement with a solution-focused approach.

Design, build, and maintain scalable Python/PySpark backend data engineering solutions on Databricks to support financial reporting and analytics. Develop secure production code, optimize data pipelines, deploy and operate modules, use enterprise AI-assisted coding tools responsibly, produce architecture artifacts, analyze large financial datasets, participate in code reviews, and collaborate with product, architecture, and cross-functional teams to translate finance requirements into reliable technical solutions.

Senior Manager advising clients on capital projects and infrastructure to optimize program delivery, manage risk, and improve sustainability. Lead and mentor teams, apply systems thinking, drive operational excellence, leverage technology/automation, and communicate strategic insights to deliver successful, complex capital programs.

Manage product lifecycle from definition through release, collaborate with cross-functional teams, conduct market and competitive analysis, support go-to-market and commercialization, apply business process modeling, and use agile methods to drive product strategy and user-focused improvements.

Implement and manage Workday Adaptive Planning to improve financial planning, reporting, and data accuracy. Collaborate with finance teams, analyze client needs, design tailored solutions, provide training and support, and deliver insight-driven recommendations while building client relationships and developing technical and leadership skills.

Lead architecture for simulation, digital twins, synthetic data, and AI Factory platforms. Define strategy and roadmaps for GPU compute, storage, networking, orchestration, MLOps, and model lifecycle to scale Physical AI. Partner with engineering, data science, perception, and robotics to accelerate autonomous system development, validation, and deployment.

Lead design and deployment of agentic AI systems and enterprise AI architecture. Create technical infrastructure (orchestration, tool integrations, data retrieval, testing), evaluate emerging AI frameworks and cloud AI platforms, define MLOps/LLMOps and data architecture patterns, and translate business requirements into scalable AI solutions while collaborating across product, IT, and business teams.

Serve as the technical and functional owner of the OneStream SaaS platform, ensuring availability, security, data integrity, and performance for financial consolidation, close, reporting, and xP&A. Lead support for close cycles, troubleshoot escalations, manage configuration, security, integrations, upgrades, releases, testing, and change control. Partner with Finance and IT, govern access and audit controls, and drive automation and platform modernization across global teams.

Lead net-new enterprise sales for RapidScale managed and advisory cloud services. Self-generate pipeline, engage C-level stakeholders, run complex multi-threaded deals, leverage cloud and partner ecosystems (VMware, AWS, Azure, Google), collaborate cross-functionally, and drive recurring revenue while meeting quota and expanding territory.

Entry-level role performing high-volume transactional posting and parts/service ordering within established SLAs. Validate documentation for audits, process routine corrections, support procure-to-pay and revenue cycle accuracy, escalate exceptions, meet productivity and quality targets, and provide operational support for auction events and supplier follow-up.

Sell Google Cloud professional services, AI/ML solutions, and managed engagements to mid-market and enterprise clients across North America. Own full sales cycle, build pipeline, meet quotas, collaborate with Google field teams, and position consulting capabilities to drive large services engagements and revenue growth.

Own the full sales cycle selling Google Cloud professional services, AI/ML solutions, and managed engagements to mid-market and enterprise clients across North America. Build pipeline, exceed quota, act as a trusted advisor to technical and executive buyers, collaborate with Google field teams, and align solutions to client business challenges.

Lead and build a regional direct sales team to drive new business growth, set territory and quota strategy, manage forecasting and pipeline, engage C-level customers, recruit and coach sales reps, collaborate with cross-functional teams and partners, and achieve annual revenue targets.

Lead enterprise-scale platform transformation as a technical strategist; design North Star operating models, run discovery workshops, craft executive-level technical narratives, map use cases to ServiceNow products, partner with pursuit leads on long-cycle deals, and ensure clean handoffs to delivery teams across 9–18 month transformations.

The Senior Software Engineer will enhance Java applications, remediate vulnerabilities, collaborate with QA teams, and contribute to CI/CD processes.

Lead enterprise solution architecture across cloud-native, microservices, and event-driven systems using .NET and Python. Drive modernization, cloud migrations, containerization, and resilient API designs. Define AI architecture using LLMs, RAG, and agent frameworks, mentor teams, engage stakeholders, and create reusable patterns to improve scalability, security, and operational efficiency.

Lead technical design and development of high-volume Java microservices and REST APIs. Drive complex enterprise initiatives, provide technical guidance, review code and tests, apply Agile practices, and support CI/CD and observability to deliver reliable production software.

Lead underwriting product initiatives from problem definition through launch and adoption. Partner with carriers and underwriters, translate regulatory and carrier constraints into engineering-ready requirements, leverage AI-native tools and workflows, maintain roadmaps, run user research and analytics, mentor junior PMs, and drive measurable business outcomes.

Lead a team delivering cloud-based, full‑stack enterprise platforms using distributed microservices. Collaborate with product managers, mentor engineers, experiment with new tech (including AI tooling), and build scalable solutions using languages like Java/Go/JavaScript and container orchestration on AWS and other cloud providers.

Lead design and build scalable, low-latency, fault-tolerant streaming data platforms and distributed data pipelines. Own streaming analytics, cloud-based data stores, CI/CD practices, and mentor engineers while collaborating with product, security, and ML teams to deliver robust cloud solutions.

Architect, design, and implement Guidewire PolicyCenter integrations and modules on GWCP. Lead Gosu and Java/Node development, CI/CD pipelines, cloud-native deployments, observability, and platform standards. Collaborate with architects, DevOps, and stakeholders to deliver scalable, secure insurance solutions and guide modernization efforts within an Agile delivery framework.

Serve as the Product Owner for a Quoting Platform, representing customer and business needs. Maintain and prioritize the backlog, define user stories, align stakeholders, drive product KPIs and roadmaps, collaborate with squads and architects, ensure regulatory compliance, and lead usability testing to deliver API-first, reusable backend platform capabilities across distribution channels.