Applied Machine Learning Jobs in Indiana (NOW HIRING)

Engineer Senior

Location: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

The Engineer Senior is responsible for delivery of end to end application, system development and maintenance on complex multi technology platforms within assigned client group, business unit or corporate department and utilizing various customer technology platforms.

How you will make an impact:

• Researches, evaluates, and proposes new technologies, including Generative AI, LLM applications, automation frameworks, AI engineering practices, and applied machine learning solutions.
• Designs, develops, and supports scalable applications with a focus on Generative AI, intelligent automation, AI-assisted capabilities, LLM-powered workflows, and integration of emerging technologies where appropriate.
• Identifies, evaluates, and helps implement practical Gen AI use cases that improve business processes, customer experiences, engineering productivity, and operational efficiency.
• Supports the design and integration of AI-enabled applications, including chatbots, copilots, document processing solutions, knowledge search, workflow automation, and decision-support tools.
• Assesses current data, systems, and business processes to identify opportunities to leverage structured and unstructured data for Generative AI, analytics, automation, and applied machine learning.
• Provides technical guidance and mentoring to engineers on modern engineering practices, AI-enabled development patterns, automation, LLM application design, and applied machine learning concepts.
• Understands the tradeoffs between technical, analytical, AI, security, compliance, and product needs of technical solutions.
• Performs technical design reviews and code reviews, including review of AI-enabled solutions for scalability, maintainability, security, quality, observability, and responsible implementation.
• Supports vendor evaluation, including assessment of AI platforms, LLM tools, automation technologies, cloud services, and software engineering solutions.
• Maintains active relationships with customers and stakeholders to determine business requirements and leads requirements gathering meetings.
• Owns the change request process and may coordinate with other teams as necessary.
• Provides technical advice and contributes to technical decisions that impact cross-functional teams.
• Develops and defines application scope and objectives and prepares technical and/or functional specifications from which programs will be written.
• May own technical testing to ensure unit testing is completed and meets test plan requirements, system testing is completed, and the system is implemented according to plan.
• Maintains the technical development environment.
• Mentors others and may lead multiple small to medium-sized projects.
• Begins to set direction at the project or service level and influences decision-making.
• Identifies and proposes strategies around technical problems affecting the team, communicates standards, and gets buy-in on solutions.
• Facilitates group sessions to elicit complex information on requirements clarification, solution design, AI use case evaluation, code reviews, and troubleshooting issues.

Minimum Requirements:

• Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 5 years related experience; multi dimensional platform experience; expert level experience with business and technical applications, or any combination of education and experience, which would provide an equivalent background.

Preferred Skills, Capabilities, and Experiences:

• Strong engineering experience with hands-on experience or deep interest in AI engineering, Generative AI, LLM applications, automation, and applied machine learning prefrerred.
• Experience designing, building, or integrating AI-enabled applications, including chatbots, copilots, intelligent search, document processing, recommendation systems, workflow automation, or decision-support solutions is preferred.
• Familiarity with LLM concepts such as prompt engineering, retrieval-augmented generation, embeddings, vector databases, model evaluation, responsible AI, guardrails, and production monitoring is preferred.
• Experience with modern software engineering practices, APIs, cloud platforms, data pipelines, and scalable application architecture is preferred.
• Experience evaluating or integrating AI platforms, Gen AI tools, automation technologies, or cloud-based AI services is preferred.
• Multi-database and/or multi-language experience is strongly preferred.
• Experience mentoring others, leading multiple small projects, and providing troubleshooting support is preferred.

Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.

Who We Are

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.

How We Work

At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.

We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.

The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.

Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.