Top Tech Jobs & Startup Jobs in Indianapolis, IN

Leads medium- to large-scale analytics projects and client relationships while conducting data analysis, managing data infrastructure, building reports and calculators, and preparing client presentations. Provides strategic insights, oversees deadlines and quality, mentors analysts, collaborates with data science and technical teams, and communicates findings to technical and non-technical stakeholders.

Founding Forward Deployed Engineer who partners with enterprise customers to identify AI opportunities, design and deploy autonomous agents, and convert custom solutions into scalable platform capabilities. The role owns the full lifecycle from discovery and architecture through production deployment, monitoring, and optimization. It also establishes FDE processes, playbooks, team culture, technical roadmaps, and cross-functional operating practices.

Provides Level 2 technical support through phone, chat, and ticketing channels. Troubleshoots complex workstation, server, cloud-hosted virtual environment, email security, and access issues; documents resolutions; maintains knowledge base content; and escalates incidents appropriately. Mentors Level 1 technicians, supports customer satisfaction, contributes root-cause analysis, follows service delivery procedures, and completes required training and performance objectives.

Designs and delivers highly available, secure AWS and Azure cloud infrastructure for enterprise clients. Leads cloud architecture, implementation, Infrastructure as Code, DevOps automation, workload migrations, and containerized environments. Collaborates with clients to gather requirements, develop technical solutions, support presales, and provide architectural guidance. Leads implementation teams, mentors colleagues, researches emerging cloud services, and ensures cloud platforms meet application, security, and compliance needs.

Supports software sales through technical and functional demonstrations, RFP and security questionnaire responses, webinars, proof-of-concept tools, training, and solution architecture. The role requires deep knowledge of SaaS products, AI policies, hosting and security controls, and the ability to translate technical capabilities into customer value. It partners with Sales, Proposal Management, Product Management, Marketing, and Professional Services while contributing to sales enablement and product feedback. Business travel may reach 25–30% annually.

Design, build, and maintain high-traffic production LLM serving systems. Optimize throughput, latency, and cost for open-source language models by tuning inference engines and GPU execution stacks. Troubleshoot and improve inference performance, and collaborate to scale efficient, reliable inference infrastructure.

Leads technical pre-sales engineering for cloud, connectivity, embedded software, and hardware solutions. Supports sales qualification, customer solution design, proposals, Statements of Work, product demonstrations, trials, onboarding, partner training, and technical account coordination. Provides customer feedback to product management and determines project feasibility. Requires strong IoT, cellular networking, SaaS, API, IP networking, and business expertise, along with 20–30% travel.

Develop and grow a medical device sales territory across outpatient urology and urogynecology clinics. Responsibilities include prospecting, educating physicians and clinic staff, conducting product demonstrations, converting prescribers, managing CRM pipeline data, meeting sales targets, planning territory routes, and managing expenses. The role requires disciplined B2B prospecting, quota achievement, strong communication, and daily travel throughout the assigned territory.

Provides supply chain systems consulting across retail, distribution, and consumer products clients. Delivers strategic transformation solutions involving inventory, fulfillment, warehouse management, planning, point-of-sale, system selection, and IT assessments. Responsibilities include client engagement, industry analysis, project deliverables, presentations, relationship management, thought leadership, and development of consulting intellectual property. Requires strong communication, project management, Microsoft Office proficiency, and willingness to travel to client sites up to 50%.

Lead end-to-end development of AI and machine learning solutions for a medical claims synthesis product. Design and deploy LLM-driven features, hybrid statistical ML and RAG systems, document extraction, and human-in-the-loop summarization workflows. Make architecture decisions, optimize production systems, evaluate model performance, collaborate with SMEs and product teams, and mentor engineers. Translate emerging AI research into reliable, scalable production applications.