Top Tech Jobs & Startup Jobs

Designs, implements, and supports enterprise backup, recovery, retention, disaster recovery, and cyber resilience solutions across on-premises, virtualized, containerized, and multi-cloud environments. Leads large data protection projects, develops architectures and strategies, troubleshoots complex infrastructure and application protection issues, performs capacity planning, and provides technical guidance to senior leadership. Supports compliance, governance, audit, and recovery testing initiatives.

Lead payer-technology consulting engagements as delivery lead or solution architect. Drive cross-functional teams, define future-state processes and technical architectures, use AI-enabled tools, produce client deliverables, manage project economics, coach consultants, and support business development and practice innovation.

Leads complex, multi-workstream strategy and transformation consulting engagements for payer clients. Oversees project teams, engagement managers, deliverable quality, budgets, timelines, executive relationships, business development, and client recommendations. Serves as a healthcare and payer strategy subject matter expert, manages a book of business, develops consulting talent, drives sales, and contributes to practice growth, offering development, and AI-enabled delivery initiatives.

Design, develop, test, deploy, and support scalable Java microservices, cloud-native applications, event-driven systems, secure APIs, and AI-powered solutions. Build relational database solutions, messaging systems, and CI/CD pipelines while applying DDD and DevSecOps practices. Monitor system health, troubleshoot production issues, evaluate emerging technologies, and support cloud modernization. Collaborate in Agile teams, mentor junior engineers, and promote engineering excellence across mission-critical healthcare and PBM transaction platforms.

Designs, develops, and deploys AI/ML solutions using deep learning, generative AI, agentic systems, and RAG. Responsibilities include prototyping algorithms, evaluating model performance, optimizing training infrastructure, integrating AI into enterprise applications, and ensuring ethical, explainable development. The role requires extensive Python, Azure, Databricks, Azure OpenAI, vector database, and machine learning framework experience, along with frontend and backend development capabilities.

Develop and execute local marketing strategies to drive membership growth and retention across the Dallas–Fort Worth market. Mentor and train assigned team members, manage campaigns, track leads/enrollments, coordinate community outreach and provider engagement, manage budgets and vendors, and support events and collateral development. Frequent local travel and occasional evenings/weekends required.

Leads the design and delivery of enterprise GenAI and agentic AI solutions using Python, LLM orchestration frameworks, RAG, and Azure cloud services. Builds conversational agents, APIs, microservices, evaluation frameworks, and production deployments. Owns LLMOps, observability, performance optimization, testing, security, reliability, and operational readiness. Mentors engineers, guides architecture, reviews code, and develops reusable AI platforms and accelerators.

Designs and implements conversational AI systems for medical content, including evaluation, optimization, reinforcement learning, and responsible AI practices. Leads UiPath-to-Power Automate Desktop migrations and integrates AI capabilities into automation workflows. Uses generative AI tools to build internal tools, scripts, and scalable AI agents while collaborating with research, engineering, product, and cross-functional teams.

Design and optimize scalable Azure data and AI platforms using Databricks, Spark, Python, and Delta Lake. Build enterprise ETL/ELT pipelines, real-time processing frameworks, feature stores, and model input pipelines. Collaborate with AI teams to operationalize machine learning models, ensure data quality and security, automate engineering workflows, and optimize performance. Participate in Agile development, CI/CD, testing, production support, and on-call operations while developing responsible AI-powered solutions.

Senior leader responsible for designing, delivering, and improving BI, reporting, analytics, and data management. Partners with stakeholders to prioritize initiatives, ensure data quality, define metrics, drive automation and AI-first improvements, and lead a team of analytics specialists to support operational and strategic decision-making.