Support Internal Audit and Credit Review functions through data acquisition, analytics development, reporting, and technology administration.
Locations (5)
Irvine, California, United States
Roseville, California, United States
Walnut Creek, California, United States
Federal Way, Washington, United States
Seattle, Washington, United States
Compensation
Pay Range: $79,750 - $139,730 annually
AIP Bonus up to 10%
Responsibilities
Partner with Internal Audit and Credit Review teams to identify and prioritize data requirements for Internal Audits, Credit Reviews, and continuous monitoring activities.
Develop and maintain data analytics, automated testing routines, and monitoring solutions within Optro Accelerate to improve audit efficiency and coverage.
Support administration of the Optro platform, including user support, configuration, testing, documentation, and other duties assigned by the Optro System Administrator.
Assist Internal Audit with SOX testing support, data collection, control monitoring, and special projects as assigned.
Support the Audit Manager and/or Audit Director in audit administrative related duties as requested.
Requirements
Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business Analytics, Finance, Accounting, or a related field
Nice to have: banking or financial services experience
Lead technical engagements and build AI-first service solutions for enterprise customers, guiding adoption of Atlassian’s AI-powered Service Collection.
Compensation
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $147,600 - $192,700
Zone B: $133,200 - $173,900
Zone C: $122,508 - $159,941
Responsibilities
Assess customers’ service maturity and AI readiness across IT Service Management, Enterprise Service Management, and Customer Service Management.
Design AI-first service workflows, including conversational request channels in Slack and Teams, multi-tier queues, change risk models, and Assets/CMDB schemas.
Configure and fine‑tune Rovo Service Agents for automated triage, deflection, smart routing, and context generation.
Help customers move from pilot to production, validating deflection rates, agent accuracy, SLAs, alerting, on‑call processes, and automated change policies.
Establish continuous learning loops for service teams to monitor, refine, and scale AI agents independently.
A pre‑sales Sales Engineer who partners with Account Executives, Product, Customer Success, and Professional Services to deliver technical demonstrations and consultative solutions for HiBob’s SaaS HR platform.
Bright Vision Technologies is seeking a highly skilled, hands‑on AI Architect with deep expertise in Agentic AI, Multi‑Agent Systems, RAG architecture, and enterprise AI solutions.
Compensation
Salary Range: $155,000–$210,000 Annually
Responsibilities
Design and build enterprise‑grade Agentic AI solutions, including conversational AI, autonomous agents, and multi‑agent systems.
Architect and implement advanced RAG pipelines, vector search, embeddings, retrieval strategies, and context management.
Develop AI agents from scratch using Python, LangGraph, LangChain, Claude Agent SDK, or similar frameworks.
Design agent orchestration, agent‑to‑agent communication, tool integrations, and intelligent workflows.
Own end‑to‑end AI solution architecture, from design and development to production deployment.
Leverage data to derive insights that align with the product’s shared vision and customer needs, inform product requirements, and analyze research, market data, and usability studies for data-driven decision-making.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Austin, TX| Salary: $143,922.00-221,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
Responsibilities
Propose, review and implement product roadmaps
Evaluate use cases and design A/B testing and pilots
Decompose work efforts and create story narratives
Secure, host, and lead demos with internal and external clients
Complete baseline high level process mapping
Requirements
Master’s degree in Business Administration, Computer and Information Technology, or a closely related field
Nice to have: Experience defining product vision and roadmap strategy aligned to company-level objectives
Nice to have: Experience defining product success metrics and leading structured experimentation
Nice to have: Experience driving cross-functional alignment and influencing stakeholders within complex initiatives
Lead full-cycle sales of AI solutions to construction industry clients, driving adoption of agentic AI workflows.
Compensation
Base Pay Range:
147,200.00 - 202,400.00 AUD Annual
On Target Earning Range:
294,400.00 - 404,800.00 AUD Annual
This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation.
Responsibilities
Partner with sales leadership, solutions teams, and account executives to identify and engage general contractors, specialty contractors, and asset owners ready to implement agentic AI workflows.
Lead deep technical discovery with client executives and operational teams, analyzing workflows across submittals, RFIs, estimating, contracts, and financials to uncover measurable business ROI.
Build and deliver tailored technical demonstrations, proofs of concept, and production-ready pilots showcasing LLM-based agents, MCP integrations, and API workflows using client-specific project data.
Configure, tune, and troubleshoot standard and domain-specific AI agents, establishing clear boundaries between standard platform capabilities and custom builds.
Own the full commercial sales cycle from qualification through proposal, pricing, and close, structuring contracts based on consumption sizing, platform credits, and phased adoption models.
Lead the design and implementation of Privileged Access Management solutions for clients, focusing on CyberArk/Idira technologies.
Compensation
The expected base salary range for this position is $152,000 to $190,000 and may be eligible for bonus awards.
Responsibilities
Lead the assessment, architecture, design, and implementation of PAM solutions
Design and implement capabilities for privileged account discovery and onboarding, credential vaulting and rotation, session management and monitoring, and least-privilege access
Provide technical leadership across delivery teams
Advise clients on PAM strategy, roadmaps, operating models, and integration with broader identity and security programs
Lead integrations with directory services, cloud platforms, enterprise applications, IT service management tools, and security monitoring platforms
Requirements
Bachelor’s degree or diploma in Computer Science, Information Technology, Cybersecurity, or a related field
The Sr. Cloud Applications Engineer will lead the design, development, integration, and support of Azure-hosted applications and enterprise cloud services, focusing on AI-enabled patient services and clinical/business application integrations.
Forward Deployed Engineer to bring AI into real business operations for the IFS M&A Group, building and running applications, integrating AI platforms with enterprise systems, and delivering production AI solutions.
Compensation
Salary Range: $130,000 to $160,000 annually + bonus
Responsibilities
Deliver assigned AI projects and workstreams from discovery through design, build, deployment, verification, training and support
Support discovery with business and technical stakeholders to understand workflows, systems and desired outcomes
Analyse non-routine requirements, recommend practical solution designs and implement them as tested code
Prototype quickly to validate a use case
Build integrations that connect AI platforms to existing applications, APIs and data sources
Salary range: $130,000-155,000/year, depending upon experience
Responsibilities
Lead the design, development, integration, and support of Azure-hosted applications and enterprise cloud services.
Provide technical administration and operational support for Exchange Online — mailbox management, mail flow rules, transport security, and distribution groups.
Support SharePoint Online and OneDrive administration — site architecture, permissions governance, information architecture, retention policies, and storage management.
Support Microsoft Teams administration — team lifecycle governance, guest access policies, calling plans, meeting room configuration, and compliance settings.
Administer and integrate Entra ID capabilities — user provisioning, group management, role-based access control, Conditional Access policies, and identity governance.
Requirements
Bachelor’s degree in computer science, Information Technology, Information Systems, or equivalent experience
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