7 enterprise account executive jobs found in Indianapolis

Description: Location: Remote Job Type: W-2 (1099 option available) Shift: First, Monday - Friday Pay Range: exempt; up to $128,000 annually (1099 rate $70/hr) Security Clearance: N/A Ryan Consulting Group, Inc. is seeking a 6-month contract Power Platform Analyst to support IT Performance initiatives with a focus on IT Finance and Time Tracking automation. This role will provide hands-on delivery of Power Platform solutions that improve data accuracy, reduce manual effort, and enable reliable, executive-level reporting. The contractor will work under the direction of IT Performance leadership and partner closely with IT, Finance, and delivery teams to implement defined automation and reporting needs using Power Automate and Power BI. This is a delivery-focused role intended to accelerate near-term outcomes while aligning with existing governance, security, and data standards. Key Responsibilities Design, build, and maintain Power Automate workflows...

Job Description The SaaS Observability organization oversees all enterprise software services supporting over 25,000 customers and processing more than 60 billion transactions daily. Within this group, the Observability team delivers strategic software solutions and large-scale production engineering services that ensure our cloud products operate with maximum reliability, performance, and resilience. SaaS Observability operates one of the largest telemetry infrastructures in the industry, handling petabytes of data, monitoring billions of objects, and maintaining modern telemetry pipelines across distributed environments. The team is actively advancing its Agentic AI infrastructure to enable intelligent, autonomous observability. We're seeking a visionary Senior Software Engineer - Agentic AI to lead the evolution of our observability platform into an intelligent, agentic AI-powered system. You'll architect scalable solutions that integrate telemetry, LLMs, and...

Job Description The SaaS Observability organization oversees all enterprise software services supporting over 25,000 customers and processing more than 60 billion transactions daily. Within this group, the Observability team delivers strategic software solutions and large-scale production engineering services that ensure our cloud products operate with maximum reliability, performance, and resilience. SaaS Observability operates one of the largest telemetry infrastructures in the industry, handling petabytes of data, monitoring billions of objects, and maintaining modern telemetry pipelines across distributed environments. The team is actively advancing its Agentic AI infrastructure to enable intelligent, autonomous observability. We're seeking a visionary Senior Software Engineer - Agentic AI to lead the evolution of our observability platform into an intelligent, agentic AI-powered system. You'll architect scalable solutions that integrate telemetry, LLMs, and...

Job Description U.S. citizenship required due to client contracts. Position must be performed on U.S. soil. Ability to obtain the appropriate government security clearance is required. Key Responsibilities Lead complex learning needs assessments and design scalable learning solutions across multiple modalities Design, develop, and maintain learning products including assessments, job aids, performance support tools, eLearning (CBT/LMS), ILT/vILT, and webinars Support enterprise deployments, sustainment efforts, and client-specific learning requirements Apply advanced instructional design methodologies and adult learning principles across the full learning lifecycle, including continuous improvement based on data and feedback Leverage AI strategically to enhance learning design, development, and operational efficiency Ensure all learning solutions meet Section 508 accessibility standards and organizational compliance requirements...

Job Description The Senior Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This person will set architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in large-scale, business-critical environments. This role requires a proven engineer who can translate ambiguous product and platform goals into durable technical strategy, lead multi-team execution without direct authority, and remain deeply hands-on in design, code, reviews, operations, and incident follow-up. The ideal candidate combines deep distributed systems experience with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, guardrails, and cloud services. The expectation is to...

Job Description The Senior Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This person will set architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in large-scale, business-critical environments. This role requires a proven engineer who can translate ambiguous product and platform goals into durable technical strategy, lead multi-team execution without direct authority, and remain deeply hands-on in design, code, reviews, operations, and incident follow-up. The ideal candidate combines deep distributed systems experience with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, guardrails, and cloud services. The expectation is to...

Job Description Position Summary The Architect, AI/ML will serve as a hands-on technical leader responsible for modernizing our Approvals platform - replacing legacy BPM systems with intelligent, agentic workflows powered by large language models. This individual will directly own the design and development of prompting infrastructure, orchestration layers, multi-agent systems, and fine-tuning pipelines, while enabling the broader engineering organization to adopt and extend these capabilities. Key Responsibilities Lead the architectural transformation from rule-based BPM to agentic, LLM-powered approval workflows - defining the long-term vision and driving hands-on execution Design, build, and own the prompting layer and orchestration infrastructure on top of foundation models, including RAG pipelines, context injection, multi-agent coordination, and human-in-the-loop escalation patterns Lead hands-on fine-tuning efforts, making principled...