advisor - ai application development engineer – full-stack ai applications

advisor - ai application development engineer – full-stack ai applications Jobs in Indianapolis

head of production, applied ai Jobs in Indianapolis

head of production, applied ai

senior quality assurance engineer Jobs in Indianapolis

senior quality assurance engineer

software implementation engineer Jobs in Indianapolis

software implementation engineer

advisor ai application development engineer full stack ai applications

Eli Lilly

<div><p>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.</p><p></p><p><b>
Organization and Position Overview:</b></p><p>
Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly's Product Research &amp; Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient-centric drug delivery solutions across a broad range of modalities &mdash; from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics.<br>
<br>
DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars: Delivery Systems, Robust &amp; Sustainable, and Patient Experience + Outcomes.</p><p><br>
The AI Application Development function is a key horizontal capability within DDCS's Data Sciences &amp; Digital Transformation team, responsible for translating the organization's data and AI strategy into production-grade, user-facing applications that accelerate decision-making across innovation and commercialization verticals. This team partners with data scientists, scientific ML engineers, data engineers, and domain specialists throughout the DDCS matrix to deliver AI solutions that are robust, compliant, and directly tied to program impact.</p><p></p><p>
The AI Application Development Engineer will develop, optimize, and fine-tune full-stack AI applications that integrate AI models with front-end user experiences and back-end services to enable workflow automation and decision support across drug delivery science, device design, and development operations. Operating within the DDCS matrix, this role partners with engineers, scientists, and business stakeholders to identify high-value use cases, translate needs into robust AI solutions, and communicate insights to senior technical and business leaders. The engineer collaborates with data scientists and data engineers to ensure modeling approaches and data structures are fit-for-purpose, contributes to the DDCS AI application strategy and architecture, and oversees compliance, security, and risk management across the application lifecycle.</p><p></p><p><b>
Responsibilities:</b></p><p></p><p><b>
AI Application Delivery (Full-Stack)</b></p><ul><li><p>
Develop full-stack applications integrating AI models with intuitive front-end interfaces and scalable back-end services for workflow automation and decision support across DDCS programs.</p></li><li><p>
Design and implement AI application architectures connected to APIs, databases, and enterprise systems, ensuring interoperability and secure data exchange.</p></li><li><p>
Build and maintain services and APIs that operationalize AI outputs&mdash;recommendations, triage, summarization, and anomaly detection&mdash;within DDCS workflows.</p></li></ul><p><b><br>
Model Enablement &amp; Optimization</b></p><ul><li><p>
Fine-tune and embed large language models and machine learning models into production-ready applications using appropriate adaptation techniques.</p></li><li><p>
Optimize AI solutions for accuracy, latency, robustness, and cost; implement monitoring and continuous improvement mechanisms post-deployment.</p></li><li><p>
Design and maintain CI/CD workflows for AI application and model lifecycle management, enabling repeatability and scalability.</p></li></ul><p><b><br>
Use Case Discovery &amp; Stakeholder Partnership</b></p><ul><li><p>
Partner with device engineers, drug delivery scientists, quality, manufacturing, and business stakeholders across the DDCS matrix to understand needs and define high-impact AI use cases.</p></li><li><p>
Translate stakeholder needs into product requirements, technical designs, acceptance criteria, and delivery plans; clearly communicate trade-offs and recommendations to senior leaders.</p></li><li><p>
Quantify and communicate uncertainty, sensitivity, and robustness to support risk-based technical decision-making.</p></li></ul><p><b><br>
Cross-Functional Data &amp; Modeling Collaboration</b></p><ul><li><p>
Collaborate with data scientists and data engineers to ensure data sourcing, structure, and modeling approaches are appropriate for the intended use and decision context.</p></li><li><p>
Define data requirements, validation strategies, and operational workflows to ensure robust model performance and reproducibility.</p></li><li><p>
Collaborate with the Scientific ML (SciML) horizontal to develop or apply physics-informed or mechanistic-hybrid machine learning approaches for drug delivery and device performance problems.</p></li><li><p>
Support data-efficient learning strategies including active learning, Bayesian optimization, and optimal experimental design to reduce testing burden and maximize learning.</p></li></ul><p><b><br>
AI Strategy, Architecture, Compliance &amp; Risk Management</b></p><ul><li><p>
Contribute to the DDCS AI application strategy and architectural blueprint: reusable patterns, reference architectures, and platform choices.</p></li><li><p>
Apply responsible AI principles, security controls, and compliance standards throughout the application lifecycle.</p></li><li><p>
Identify and mitigate risks related to privacy, security, model behavior, and regulatory compliance (FDA, GxP, 21 CFR Part 11).</p></li></ul><p></p><p><b>
Basic Requirements:</b></p><ul><li><p>
Master's degree in Computer Science, Machine Learning, Data Science, Biomedical Engineering, Mechanical Engineering, Chemical Engineering, Applied Mathematics, or related field</p></li><li><p>
5+ years of demonstrated experience developing full-stack software integrating AI models into user-facing products or decision-support tools</p></li><li><p>
Experience building and deploying AI or machine learning systems, including at least one production deployment.</p></li><li><p>
Experience with large language model-enabled applications: retrieval-augmented generation (RAG), tool use, and agent-based workflows.</p></li><li><p>
Strong software engineering skills in Python and one or more additional languages (TypeScript, JavaScript, Java, or C#), including API and microservices design.</p></li><li><p>
Experience with cloud-based deployment, ML Ops toolchains, observability, and performance/cost optimization in production environments.</p></li><li><p>
Systems thinking: understanding how data, models, applications, and people interact</p></li><li><p>
Clear communication of AI capabilities, limitations, and business value to diverse audiences</p></li></ul><p></p><p><b>
Additional Preferences:</b></p><ul><li><p>
PhD in relevant field and 2+ years of experience as listed above</p></li><li><p>
Familiarity with regulated environments and experience implementing security, privacy, documentation, and auditability requirements across the system lifecycle.</p></li><li><p>
Domain experience in drug delivery, medical devices, combination products, human factors, manufacturing, or quality analytics.</p></li><li><p>
Demonstrated ability to collaborate effectively across data science, data engineering, and engineering teams.</p></li><li><p>
Strong written and verbal communication skills with demonstrated ability to present technical concepts to senior technical and business leaders.</p></li><li><p>
Full-stack AI application design and delivery from prototype to production</p></li><li><p>
LLM and ML model integration, fine-tuning, and operationalization</p></li><li><p>
Cross-functional collaboration and use case translation within a matrix organization</p></li><li><p>
Responsible AI: security, compliance, and model risk management in regulated environments</p></li><li><p>
Scientific curiosity and domain engagement with drug delivery device development problems</p></li></ul><p></p><p><b>
Other Information:</b></p><ul><li><p>
Trave up to 10%</p></li><li><p>
Location: Indianapolis, IN; Lilly Technology Center &ndash; North (LTC-N)</p></li></ul><p>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.</p><p></p><p>
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.</p><p><br>
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.</p><p></p><p>
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is</p>
$126,000 - $204,600<p></p><p>
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.</p><p></p><p>
#WeAreLilly</p></div>

Advisor - AI Application Development Engineer – Full-Stack AI Applications

BV Teck

<div>Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.<br>
We leverage cutting-edge large language model (LLM) and AI platform technologies to build scalable, secure, and production-ready AI systems. As we continue to grow, we&rsquo;re looking for a skilled <b>LLM Platform Engineer</b> to join our dynamic team and contribute to our mission of transforming business processes through technology.<br>
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br>
<br>
We are looking for <b>OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people</b> who are looking for an <b>H1B sponsorship for the year 2027 quota</b>.<br>
<br>
<b>Company:</b> Bright Vision Technologies ( www.bvteck.com )<br>
<b>Job Title:</b> LLM Platform Engineer<br>
<b>Onsite/Hybrid:</b> Remote<br>
<b>FULL-TIME ROLE WITH BRIGHT VISION</b><br>
<br>
<b>Job Description:</b><br>
<b>Environment:</b><br>
Large Language Models (LLMs), Python, Prompt Engineering, Model Fine-Tuning, Hugging Face, OpenAI / Azure OpenAI APIs, Vector Databases, Embeddings, RESTful APIs, Model Deployment &amp; Scaling, Docker, Kubernetes, Cloud Platforms (AWS / Azure / GCP), CI/CD pipelines, Linux, Git, Agile methodologies<br>
<br>
<b>BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.</b><br>
<br>
For every role, a <b>coding test is required</b>, so apply only if you are <b>confident and technically strong</b>.<br>
We prefer <b>at least 3 to 5 years real time experience</b>.<br>
<br>
If you are an <b>LLM Platform Engineer</b> with the above skills and are looking for an <b>H-1 B sponsorship</b> this year, please send your resume immediately to <b>harry@bvteck.com</b>.<br>
<br>
we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.<br>
<b>Position offered by &ldquo;No Fee agency.&rdquo;</b><p><br>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
</p><p>ZCq55H6ryd</p></div>

LLM Platform Engineer

Lilt- Lega Italiana per la Lotta contro i Tumori

<div><h1 class="jobSectionHeader"><b>About LILT</b></h1><p><b>
AI is changing how the world communicates &mdash; and LILT is leading that transformation.</b></p><p>
We're on a mission to <b>make the world's information accessible to everyone</b>, regardless of the language they speak. We use cutting-edge <b>AI, machine translation, and human-in-the-loop</b> expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.</p><p>
At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues&mdash;<b>Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1</b>&mdash;guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we&rsquo;re building a category-defining company in a $50B+ global translation market being redefined by AI.</p><p></p><h1 class="jobSectionHeader"><b>
Position Overview</b></h1><p>
We are seeking an experienced <b>Head of Applied AI Production</b> to lead and scale our multilingual Applied AI production operations. This strategic leadership role will be responsible for executing complex programs, building robust data operations, and scaling production operations. The ideal candidate will bridge the gap between technical requirements and operational excellence, ensuring high-quality multilingual data production at scale.</p><p></p><h1 class="jobSectionHeader"><b>
Key Responsibilities:</b></h1><p></p><h2 class="jobSectionHeader"><b>
Strategic Leadership</b></h2><ul><li><p>
Define and execute the vision and strategy for Applied AI production operations</p></li><li><p>
Translate business objectives into actionable data production strategies and roadmaps</p></li><li><p>
Build scalable frameworks that balance speed-to-market with rigorous quality standards</p></li><li><p>
Communicate value, progress, and strategic initiatives effectively to executive stakeholders</p></li></ul><h2 class="jobSectionHeader"><b>
Operational Excellence</b></h2><ul><li><p>
Lead end-to-end production operations for Applied AI, ensuring on-time, high-quality delivery</p></li><li><p>
Design and implement standardized processes, workflows, and quality frameworks across production teams</p></li><li><p>
Optimize resource allocation, prioritization, and capacity planning to maximize team productivity</p></li><li><p>
Establish metrics and KPIs to measure operational efficiency, quality, and business impact</p></li><li><p>
Drive continuous improvement initiatives and identify opportunities for innovation</p></li></ul><h2 class="jobSectionHeader"><b>
Team Leadership &amp; Development</b></h2><ul><li><p>
Build, mentor, and scale a high-performing production team, including project managers, data specialists, and quality assurance professionals</p></li><li><p>
Foster a culture of excellence, accountability, and collaboration</p></li><li><p>
Partner with cross-functional leaders in Research, Engineering, and GTM to ensure alignment and effective collaboration</p></li></ul><h2 class="jobSectionHeader"><b>
Technical &amp; Quality Oversight</b></h2><ul><li><p>
Ensure rigorous quality assurance processes are in place</p></li><li><p>
Make strategic tooling and technology decisions to support scalability and efficiency</p></li><li><p>
Implement risk management frameworks to minimize rework and delivery delays</p></li><li><p>
Stay current with industry best practices and emerging trends in AI</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Required Qualifications:</b></h1><p></p><h2 class="jobSectionHeader"><b>
Experience</b></h2><ul><li><p>
10+ years of experience in ML Data production operations, program management, or related roles</p></li><li><p>
5+ years leading complex ML/AI Data delivery programs at scale</p></li><li><p>
Proven track record of scaling operations from small teams (5-10) to enterprise-level (50+)</p></li><li><p>
Experience managing multi-million dollar budgets and P&amp;L responsibility</p></li><li><p>
History of successfully delivering complex, multi-stakeholder programs on time and within budget</p></li></ul><h2 class="jobSectionHeader"><b>
Technical Knowledge</b></h2><ul><li><p>
Deep understanding of AI/ML workflows, training data requirements, and quality standards</p></li><li><p>
Expertise in data annotation, labelling, model benchmarking and evaluation, and data pipeline operations</p></li><li><p>
Knowledge of data science, engineering principles, and linguistics as they apply to AI production</p></li><li><p>
Experience with production tooling, platforms, and technologies for Applied AI operations</p></li></ul><h2 class="jobSectionHeader"><b>
Leadership &amp; Skills</b></h2><ul><li><p>
Exceptional leadership abilities with experience building and scaling high-performing teams</p></li><li><p>
Strong analytical and problem-solving skills with a data-driven decision-making approach</p></li><li><p>
Outstanding communication skills with the ability to influence stakeholders at all levels</p></li><li><p>
Expertise in process optimization, change management, and operational excellence methodologies</p></li><li><p>
Strategic thinking combined with hands-on execution capabilities</p></li><li><p>
Ability to thrive in ambiguous, fast-paced, dynamic environments with competing priorities</p></li></ul><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li><p>
Experience in multilingual AI operations</p></li><li><p>
Background in AI-native companies</p></li><li><p>
Degree in Computer Science, Data Science, Engineering, or related field</p></li><li><p>
Certifications in project management (PMP), process improvement (Lean Six Sigma), or related areas</p></li><li><p>
Experience with global, distributed teams and offshore operations</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Our Story</b></h1><p>
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn&rsquo;t used for enterprise products and services inside the company.The quality just wasn&rsquo;t there. So they set out to build something better. LILT was born.</p><p></p><p>
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn&rsquo;t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.</p><p></p><p>
With AI innovation accelerating and enterprise demand growing, the next phase of LILT&rsquo;s journey is just beginning.</p><p></p><h1 class="jobSectionHeader"><b>
Our Tech</b></h1><p>
What sets our platform apart:</p><ul><li><p>
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent</p></li><li><p>
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing</p></li><li><p>
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation</p></li><li><p>
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review</p></li></ul><h1 class="jobSectionHeader"><b><br>
LILT in the News</b></h1><ul><li><p>
Featured in The Software Report&rsquo;s Top 100 Software Companies!</p></li><li><p>
LILT makes it onto the Inc. 5000 List.</p></li><li><p>
LILT&rsquo;s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.</p></li><li><p>
Check out all our news on our website.</p></li></ul><p></p><p><i>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at </i><i>https://lilt.com/legal/privacy</i><i>.</i></p><p></p><p><i>
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including r&eacute;sum&eacute; screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.</i></p><p></p><p><i>
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual&rsquo;s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.</i></p></div>

Head of Production, Applied AI

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Marketing &amp; Communications
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>Salesforce helps organizations of any size transform into Agentic Enterprises. With Agentforce, organizations can bring humans together with agents to drive customer success. We are looking for a Manager to join our Global Communications team to serve as a storyteller for our core product innovations, with a specific focus on Agentforce and Slack.
</p><p>This isn't just a product comms role, it&rsquo;s a narrative leadership opportunity. You will be responsible for crafting the perception of how Agentforce and Slack bring together humans, agents, apps, and data into the flow of work. As a key member of the team, you will be the bridge between technical architectures and the media&rsquo;s understanding of our AI strategy.
</p><p>The ideal candidate is a technical storyteller who can simplify complex AI and platform technologies into agenda-setting stories, thriving in a high-visibility environment where priorities evolve in a heartbeat.
</p><h3 class="jobSectionHeader"><b>MINIMUM REQUIREMENTS:
</b></h3><ul><li><p>Experience: 7+ years in communications, with a focus on B2B Tech, SaaS, or AI. Experience with product-led-growth (PLG) models is a plus.
</p></li><li><p>Technical Literacy: Ability to become a true subject-matter expert on topics like RAG, metadata, workflows, and agent orchestration.
</p></li><li><p>Executive Presence: Proven experience providing counsel to Product and Engineering leaders to refine technical narratives.
</p></li><li><p>Narrative Agility: A no ego, highly collaborative attitude with the ability to pivot as product features or launch dates shift.
</p></li><li><p>Writing Excellence: Exceptional ability to turn complex concepts into compelling, human-centered stories that resonate with tier-1 business and tech media.
</p></li></ul><h3 class="jobSectionHeader"><b>RESPONSIBILITIES:
</b></h3><p>Product Storytelling &amp; Media Relations
</p><ul><li><p>The Agentic Narrative: Drive the better together story of Agentforce and Slack, positioning Slack as the essential interface where AI agents and humans collaborate seamlessly within the flow of work.
</p></li><li><p>Innovation Discovery: Partner deeply with Product and Engineering to identify disruptive features&mdash;from AI-powered workflows to data integrations&mdash;mining for stories before they hit the market.
</p></li><li><p>Next-Gen Media Expansion: Build and cultivate a new network of relationships with emerging media, influential tech creators, and Substack writers to reach the next generation of customers.
</p></li><li><p>Consumer-Centric Storytelling: Translate complex enterprise AI concepts into relatable narratives for mainstream and consumer-centric media, illustrating how agentic technology improves the daily lives and experiences of individual humans.
</p></li><li><p>Launch &amp; Content Execution: Lead the end-to-end comms lifecycle for product launches, including messaging frameworks and technical FAQs, while ghostwriting high-impact blog posts, scripts, and bylines to drive the narrative.
</p></li></ul><p>Stakeholder Management &amp; Strategy
</p><ul><li><p>Technical Advisor: Serve as a trusted partner to stakeholders, prepping them for interviews and how to navigate sensitive topics.
</p></li><li><p>Agency Orchestration: Direct external agency partners to ensure they are hitting proactive pitching targets and are deeply briefed on the nuances of the agentic enterprise.
</p></li><li><p>Global Alignment: Collaborate with global comms leads to ensure product messaging is consistent across regions while remaining culturally and technically relevant.
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.</div><p></p>

Manager, Corporate Communications

Genesys

<div></div><div><div><div><div><div><div>locations</div><div>
Indianapolis, IN</div></div></div></div><div></div><div><div><div><div><div>
time type</div><div>
Full time</div></div></div></div><div></div><div><div><div><div>
posted on</div><div>
Posted 4 Days Ago</div></div></div></div><div></div><div><div><div><div>
job requisition id</div><div>
JR110247</div></div></div></div></div></div><div><div><div>
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.</div><div></div><div>
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.</div><div></div><div>
Genesys is one of the world&rsquo;s leading cloud platforms for customer experience. As infrastructure investment, AI innovation, and usage-based economics accelerate, managing and optimizing Cost of Revenue is increasingly strategic to our long-term performance.</div><div></div><div><br>
The Strategic Finance team at Genesys is responsible for leading the company&rsquo;s financial forecasting and reporting for executives and investors, including developing the company&rsquo;s annual budget and long-range plans and providing executives with regular analysis of the company&rsquo;s performance across key strategic goals. This position will take a leading role in Gross Margin analytics and cloud cost management for the Genesys Cloud business. This role offers high visibility, direct partnership with senior leaders across Finance and R&amp;D, and meaningful impact on margin performance in a complex, fast-scaling SaaS environment.</div><div></div><div><br>
Responsibilities:</div><ul><li><div>
Budgets and Forecasts</div><ul><li><div>
Drive forecasting and analysis of cloud infrastructure and technology cost of revenue, including AWS and other strategic vendors.</div></li><li><div>
Build scalable models that incorporate usage-based drivers, savings plans, credits, and contract structures.</div></li><li><div>
Partner with Accounting to ensure accurate accruals, amortization, and financial reporting integrity.</div></li><li><div>
Strengthen financial visibility into infrastructure spend as the business scales.</div></li></ul></li><li><div>
Gross Margin Strategy and Insights</div><ul><li><div>
Develop unit economics frameworks that connect infrastructure costs to business drivers.</div></li><li><div>
Identify margin improvement opportunities through deep cost and usage analysis.</div></li><li><div>
Provide data-driven insights to senior leadership to inform investment and optimization decisions.</div></li></ul></li><li><div>
Data and Process Optimization</div><ul><li><div>
Reconcile complex, fragmented datasets across financial systems and cloud usage platforms.</div></li><li><div>
Improve automation, reporting accuracy, and efficiency in recurring analyses.</div></li><li><div>
Proactively identify financial risks, anomalies, and optimization opportunities.</div></li></ul></li><li><div>
Cross-Functional Partnership</div><ul><li><div>
Act as a strategic finance partner to R&amp;D and Product leadership.</div></li><li><div>
Support financial transparency around AI investments and cloud scaling initiatives.</div></li><li><div>
Translate technical infrastructure data into clear financial narratives.</div></li></ul></li></ul><div></div><div>
Qualifications / Skills Desired and Preferred:</div><ul><li><div>
4&ndash;6+ years of experience in FP&amp;A, Strategic Finance, Data Analytics, or Consulting.</div></li><li><div>
SaaS or Cloud business model experience is strongly preferred.</div></li><li><div>
Exposure to cloud infrastructure cost modeling (AWS or similar) is a significant plus.</div></li><li><div>
Advanced Excel and strong financial modeling capabilities.</div></li><li><div>
Experience working with large datasets and BI/reporting tools (Tableau, Power BI, Adaptive, etc.).</div></li><li><div>
Strong executive communication skills &mdash; able to distill complexity into clear insights.</div></li><li><div>
Self-starter mindset with the ability to operate independently in a fast-paced environment.</div></li></ul><div></div><div>
Compensation:</div><div>
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate&rsquo;s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.</div><div></div>
$81,800.00 - $143,800.00<div></div><div>
Benefits:</div><ul><li><div>
Medical, Dental, and Vision Insurance.</div></li><li><div>
Telehealth coverage</div></li><li><div>
Flexible work schedules and work from home opportunities</div></li><li><div>
Development and career growth opportunities</div></li><li><div>
Open Time Off in addition to 10 paid holidays</div></li><li><div>
401(k) matching program</div></li><li><div>
Adoption Assistance</div></li><li><div>
Fertility treatments</div></li></ul><div></div><div>
Click <div>here</div> to view a summary overview of our Benefits.</div><div></div><div>
If a Genesys employee referred you, please use the link they sent you to apply.</div><div></div><div>
About Genesys:</div><div>
Genesys&reg; empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud&trade; is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit <div>www.genesys.com</div>.</div><div></div><div>
Reasonable Accommodations:</div><div>
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at <div>reasonable.accommodations@genesys.com</div>.</div><div></div><div>
You can expect a response within 24&ndash;48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.</div><div></div><div>
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation&mdash;such as application follow-ups or resume submissions&mdash;may not receive a response.</div><div></div><div>
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.</div><div></div><div><i>
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.</i></div></div></div></div>

Senior Financial Analyst

<div><p>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.</p><p></p><p><b>
Organization and Position Overview:</b></p><p></p><p>
Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly's Product Research &amp; Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient-centric drug delivery solutions across a broad range of modalities &mdash; from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics.<br>
<br>
DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars: Delivery Systems, Robust &amp; Sustainable, and Patient Experience + Outcomes.</p><p><br>
The Data Science horizontal within DDCS generates actionable scientific and business insights that accelerate innovation and de-risk commercialization across the DDCS matrix. Data scientists operate at the intersection of device engineering, drug delivery science, clinical evidence, and AI&mdash;partnering with AI application engineers, scientific ML specialists, and data engineers to build end-to-end analytical capabilities that directly shape product design decisions, device performance optimization, and patient outcome strategies.</p><p></p><p>
We are seeking an exceptional Data Scientist to join DDCS's data science team. This role leverages internal and external data to generate actionable scientific and business insights that drive innovation in drug delivery technologies. The ideal candidate combines deep analytical expertise with strong business acumen to identify high-value use cases, develop data-driven solutions, and communicate compelling data stories to senior leadership. You will play a pivotal role in influencing product design decisions, optimizing device performance, and advancing DDCS's mission to improve patient outcomes through innovative drug delivery systems&mdash;operating as a key horizontal contributor within the DDCS matrix.</p><p></p><p><b>
Responsibilities:</b></p><p></p><p><b>
Use Case Identification &amp; Solution Development</b></p><ul><li><p>
Partner with engineers, scientists, and business stakeholders across innovation and commercialization verticals to understand needs and opportunities across the product lifecycle.</p></li><li><p>
Identify and prioritize high-impact use cases for data-driven solutions in formulation optimization, device design, quality assurance, and patient adherence.</p></li><li><p>
Design and implement analytical frameworks and predictive models to address specific business questions and technical challenges.</p></li><li><p>
Develop statistical models, machine learning algorithms, and simulation tools to support decision-making in research, development, and commercialization.</p></li></ul><p><b><br>
Scientific &amp; Business Insights Generation</b></p><ul><li><p>
Analyze complex datasets from laboratory experiments, clinical studies, manufacturing processes, device sensors, and real-world evidence to extract meaningful scientific and business insights.</p></li><li><p>
Investigate device performance characteristics, patient usage patterns, drug stability, and delivery accuracy to identify opportunities for product improvement and innovation.</p></li><li><p>
Conduct exploratory data analysis to uncover trends, patterns, and anomalies that inform research priorities and strategic decisions.</p></li><li><p>
Synthesize findings from multiple data sources to provide holistic perspectives on device efficacy, safety, and market performance.</p></li></ul><p><b><br>
Predictive Modeling &amp; Advanced Analytics</b></p><ul><li><p>
Build, validate, and deploy predictive models for device performance forecasting, failure mode prediction, patient outcome estimation, and quality control optimization.</p></li><li><p>
Apply statistical methods including regression analysis, hypothesis testing, survival analysis, and Bayesian inference to experimental and observational data.</p></li><li><p>
Collaborate with AI application engineers and scientific ML specialists to develop advanced models including deep learning, NLP, and computer vision applications.</p></li><li><p>
Implement model monitoring and performance tracking to ensure continued accuracy and reliability in production.</p></li></ul><p><b><br>
Data Storytelling &amp; Leadership Communication</b></p><ul><li><p>
Translate complex analytical findings into clear, compelling narratives that resonate with both technical and non-technical audiences.</p></li><li><p>
Create executive-ready visualizations, dashboards, and presentations that communicate insights and recommendations to senior leadership.</p></li><li><p>
Present data-driven recommendations to influence product design, development strategies, and investment decisions across the DDCS matrix.</p></li><li><p>
Develop business cases with quantitative evidence to support new initiatives, process improvements, and strategic pivots.</p></li></ul><p><b><br>
Cross-Functional Collaboration</b></p><ul><li><p>
Work closely with data engineers to define data requirements, ensure data quality, and access appropriate data infrastructure.</p></li><li><p>
Collaborate with AI application engineers to transition models from research to production environments.</p></li><li><p>
Partner with clinical, regulatory, and quality teams to ensure analytical approaches align with compliance requirements and industry standards.</p></li><li><p>
Support research scientists and engineers by providing statistical consultation and analytical expertise.</p></li></ul><p><b><br>
Data Strategy, Innovation &amp; Mentorship</b></p><ul><li><p>
Stay current with emerging analytical techniques, machine learning methods, and industry trends in medical device development and digital health.</p></li><li><p>
Identify opportunities to apply novel analytical approaches to solve longstanding challenges in drug delivery device development.</p></li><li><p>
Contribute to best practices, methodologies, and capabilities within the DDCS data science horizontal.</p></li><li><p>
Mentor junior team members and promote a culture of data-driven decision-making across the DDCS matrix.</p></li></ul><p></p><p><b>
Basic Requirements:</b></p><ul><li><p>
PhD in Statistics, Biostatistics, Data Science, Computer Science, Computational Biology, Engineering, Physics, Applied Mathematics, or a related quantitative field</p></li><li><p>
Experience conducting independent research and developing novel analytical approaches, with demonstrated research excellence through publications, dissertations, or equivalent scholarly work,.</p></li><li><p>
Proficiency in Python, R, and/or ML frameworks (i.e. PyTorch, TensorFlow, scikit-learn) and visualization tools (i.e. Tableau, Power BI).</p></li><li><p>
Cross-functional collaboration and influence within a matrixed model</p></li><li><p>
Regulatory awareness and compliance mindset in GxP/GMP environments</p></li></ul><p></p><p><b>
Additional Preferences:
</b></p><ul><li><p>Post-PhD experience in pharmaceutical, biotechnology, medical device, or healthcare industries.</p></li><li><p>
Strong foundation in statistical analysis, machine learning, deep learning, and data manipulation through doctoral research or professional experience.</p></li><li><p>
Proven ability to work with complex, multi-dimensional datasets and translate analytical findings into actionable recommendations.</p></li><li><p>
Understanding of drug delivery mechanisms, pharmacokinetics, and device engineering principles.</p></li><li><p>
Experience with clinical trial design, analysis, and interpretation (adaptive designs, survival analysis, patient-reported outcomes).</p></li><li><p>
Analytical depth: statistical modeling, machine learning, and advanced data analysis</p></li><li><p>
Scientific curiosity and ability to formulate rigorous analytical questions from complex device/drug delivery problems</p></li><li><p>
Exceptional data storytelling: translating complex findings into executive-ready insights</p></li><li><p>
Strategic business acumen: connecting analytical work to portfolio and program decisions</p></li><li><p>
Mentorship and knowledge-sharing orientation</p></li></ul><p></p><p><b>
Other Information:</b></p><ul><li><p>
Travel up to 10%</p></li><li><p>
Location: Indianapolis, IN; Lilly Technology Center &ndash; North (LTC-N)</p></li></ul><p></p><p>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.</p><p></p><p>
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.</p><p><br>
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.</p><p></p><p>
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is</p>
$126,000 - $204,600<p></p><p>
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.</p><p></p><p>
#WeAreLilly</p></div>

Data Scientist – Drug Delivery Device Development

Community Health Network

<div><div><div><div>Category</div>
<div>Professional &amp; Business Support</div>
</div><div><div>Job Family</div>
<div>Information Technology</div>
</div><div><div>Department</div>
<div>Information Technology</div>
</div><div><div>Schedule</div>
<div>Full-time</div>
</div><div><div>Facility</div>
<div>Shadeland Station</div>
<div><div><div>Shadeland Ave</div><br>
<div>Indianapolis</div>, <div>IN</div> <div>46256</div><br>
<div>United States</div></div></div>
</div><div><div>Shift</div>
<div>Day Job</div>
</div><div><div>Hours</div>
<div>8:00am - 5:00pm, Monday - Friday</div><br>
</div></div><p></p><div><div><p><b>Join Community</b></p><p>
Community Health Network was created by our neighbors, for our neighbors. Over 60 years later, &ldquo;community&rdquo; is still the heart of our organization. It means providing our neighbors with the best care possible, backed by state-of-the-art technology. It means getting involved in the communities we serve through volunteer opportunities and benefits initiatives. It means ensuring our dedicated caregivers can learn and grow to stay at the top of their fields and to better serve our patients. And above all, it means exceptional care, simply delivered &mdash; and we couldn&rsquo;t do it without you.</p><p></p><p><b><br>
Make a Difference</b></p><p>
Community Health Network is seeking a highly skilled Senior Systems Engineer specializing in Microsoft 365 (including Outlook / Email, Teams). This includes design, implementation, configuration management, automation, maintenance, troubleshooting, security, resource performance monitoring and support documentation. It is extremely important to the enterprise that our Cloud Environments offer the highest reliability and performance possible.</p><p></p><p><br>
Key Responsibilities:</p><ul><li><p>
Design and implement scalable, secure, and high-performance cloud solutions in Microsoft 365.</p></li></ul><ul><li><p>
Provides advanced technical with Microsoft 365, including support of Enterprise email, Microsoft Teams, as well as other M365 technologies.</p></li></ul><ul><li><p>
Effectively and concisely conveys information and ideas to individuals and teams by communicating in a focused and compelling way. Ensure compliance with industry standards and security best practices.</p></li></ul><ul><li><p>
Participate in disaster recovery and business continuity planning for Azure environments.</p></li></ul><ul><li><p>
Provide technical leadership and mentorship.</p></li></ul><ul><li><p>
Stay updated on Azure advancements and recommend innovative solutions.</p></li></ul><p></p><p><b><br>
Exceptional Skills and Qualifications</b></p><p>
Applicants for this position should be able to collaborate with others in a team setting, have excellent communication skills, and a positive attitude toward problem-solving.</p><ul><li><p><br>
High School Diploma or GED required.</p></li></ul><ul><li><p>
Bachelor&rsquo;s degree in computer science or related field preferred.</p></li></ul><ul><li><p>
Minimum of five (5) to seven (7) years supporting Microsoft 365 applications and enterprise email architecture.</p></li></ul><ul><li><p>
Expertise in Microsoft 365 applications.</p></li></ul><ul><li><p>
Strong knowledge of Email configuration such as DKIM / DMARC / SPF / BIMI, as well as utilizing legal holds and performing searches of email.</p></li></ul><ul><li><p>
Experience with email security products and concepts.</p></li></ul><ul><li><p>
Proficiency in scripting languages such as PowerShell or Python.</p></li></ul><ul><li><p>
Excellent problem-solving and communication skills.</p></li></ul><p>
Preferred Qualifications:</p><ul><li><p>
Azure certification or ability to attain within 12 months.</p></li></ul><ul><li><p>
Experience with email security tools such as Abnormal AI.</p></li></ul><ul><li><p>
Experience with email eDiscovery in Microsoft 365.</p></li></ul><ul><li><p>
This position will allow flexibility to work remotely. Community caregivers performing work remotely are permitted to live in the following states: Indiana, Illinois, Ohio, Michigan, Kentucky, Florida and Texas. Caregivers are not allowed to perform work remotely outside of the above states. Applicants from other states may apply; however, if hired, they will be required to relocate to one of the above states within 60 days of their employment date.</p></li></ul></div>
<p><b>Why Community?
</b></p><p>At Community Health Network, we build teams that deliver exceptional care through empathy, communication and collaboration. We consider ALL an integral part of the exceptional patient experience. We PRIIDE ourselves on not having employees but Caregivers. Join our Community as we make a difference in your community.</p></div></div><p></p>

Sr Systems Engineer - Microsoft 365

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