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Science Engineer Jobs in Austin, TX (NOW HIRING)

AI Solutions Architect - Life Sciences

Austin, TX · Hybrid

$62.50 - $82.25/hr

Work You'll Do As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements. * Lead small ...

Bonus: current or former science teachers, scientists, engineers, medical professionals, or STEM researchers who tutor, educators with degrees in biology, chemistry, physics, or science education ...

Bonus: current or former science teachers, scientists, engineers, medical professionals, or STEM researchers who tutor, educators with degrees in biology, chemistry, physics, or science education ...

Bonus: current or former science teachers, scientists, engineers, medical professionals, or STEM researchers who tutor, educators with degrees in biology, chemistry, physics, or science education ...

Bonus: current or former science teachers, scientists, engineers, medical professionals, or STEM researchers who tutor, educators with degrees in biology, chemistry, physics, or science education ...

Bonus: current or former science teachers, scientists, engineers, medical professionals, or STEM researchers who tutor, educators with degrees in biology, chemistry, physics, or science education ...

Senior Synthesis Engineer

Austin, TX · On-site

$115K - $173K/yr

OR PhD in Science, Engineering, or related field. Minimum Qualifications: • Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of ...

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on ...

This role spans the full DI tech stack, supporting data science and AI insights workflows, full-stack web engineering, and the triage and escalation pipelines that keep our systems reliable and our ...

Senior Software Engineer

Austin, TX

$121K - $160K/yr

Solid grasp of computer science foundations, mainly algorithms and data structures * Expertise in one or more modern programming languages. Examples are TypeScript, Javascript, Python, Go, C++, Java ...

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Science Engineer information

What engineers make $200,000 a year?

Senior engineers in fields such as software, petroleum, aerospace, and electrical engineering can earn $200,000 or more annually, especially with extensive experience, advanced skills, and often in leadership or specialized roles. High-paying engineering positions typically require advanced degrees, certifications, and a strong track record of project management or technical expertise.

What are the key skills and qualifications needed to thrive as a Science Engineer, and why are they important?

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What do science engineers do?

Science engineers apply principles from science and engineering to develop new technologies, improve processes, and solve technical problems. They often work in research and development environments, utilizing tools like laboratory equipment and computer modeling, and may require knowledge of specific scientific disciplines and engineering standards.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or software engineering working in senior or executive roles can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes leadership responsibilities or working in high-paying industries like oil and gas, aerospace, or technology firms.

What jobs can you do with engineering science?

Engineering science graduates can pursue careers in research and development, systems engineering, quality assurance, and technical consulting. They often work in industries such as aerospace, automotive, energy, and manufacturing, utilizing skills in problem-solving, data analysis, and technical design. Certifications and proficiency with tools like CAD software or laboratory equipment can enhance job prospects.

What are science engineers?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are some common challenges Science Engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.
What are popular job titles related to Science Engineer jobs in Austin, TX? For Science Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Science Engineer jobs in Austin, TX look for? The top searched job categories for Science Engineer jobs in Austin, TX are:
Infographic showing various Science Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
AI Solutions Architect - Life Sciences

AI Solutions Architect - Life Sciences

Deloitte

Austin, TX • Hybrid

$62.50 - $82.25/hr

Other

Posted 22 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services


Job description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 07/12/2026.

Work You'll Do

As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations for Life Sciences clients
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Throughout the health ecosystem, you'll find courageous and inspiring people who are committed to driving transformation, advancing health equity, and leading a well-being revolution. Where you find innovators committed to sustainable progress, you'll find Deloitte's Life Sciences & Health Care practice. Our leaders work side-by-side to orchestrate and deliver on the business of science and health. We bring trusted, flexible approaches that foster innovation, harness new technologies, and formulate consumer-driven strategies to engineer a digitally enabled, equitable future of health - starting today.

Across life sciences you'll find innovators who are developing therapies, treatments, devices, and cures to meet society's most pressing health challenges and deliver wellness for all. Alongside them, you'll find our leaders, the professionals of Deloitte's Life Sciences practice, who are orchestrating and delivering the business of science and health. We help drive impact through deep industry experience and insights; transformative strategies; trusted, flexible approaches; and new technologies. We help accelerate action and create connections that empower a digitally enabled, equitable future of health.

Qualifications

Required:

  • 6+ years hands-on experience delivering AI solutions for Life Sciences
  • 1+ years hands-on experience with AI/GenAI solution architecture, especially agentic systems and LLM-enabled applications
  • 1+ years experience with RAG, embeddings, vector databases, orchestration frameworks, memory/state patterns, and tool-use architectures
  • 1+ years experience building or governing LLMOps practices such as evaluation, monitoring, prompt lifecycle management, and guardrails
  • 2+ years experience leading, managing and delivering complex AI Solutions engagements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Life Science R&D AI Solutions experience
  • Experience in consulting and client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting technical content to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 to $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 07/12/2026.

Work You'll Do

As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations for Life Sciences clients
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Throughout the health ecosystem, you'll find courageous and inspiring people who are committed to driving transformation, advancing health equity, and leading a well-being revolution. Where you find innovators committed to sustainable progress, you'll find Deloitte's Life Sciences & Health Care practice. Our leaders work side-by-side to orchestrate and deliver on the business of science and health. We bring trusted, flexible approaches that foster innovation, harness new technologies, and formulate consumer-driven strategies to engineer a digitally enabled, equitable future of health - starting today.

Across life sciences you'll find innovators who are developing therapies, treatments, devices, and cures to meet society's most pressing health challenges and deliver wellness for all. Alongside them, you'll find our leaders, the professionals of Deloitte's Life Sciences practice, who are orchestrating and delivering the business of science and health. We help drive impact through deep industry experience and insights; transformative strategies; trusted, flexible approaches; and new technologies. We help accelerate action and create connections that empower a digitally enabled, equitable future of health.

Qualifications

Required:

  • 6+ years hands-on experience delivering AI solutions for Life Sciences
  • 1+ years hands-on experience with AI/GenAI solution architecture, especially agentic systems and LLM-enabled applications
  • 1+ years experience with RAG, embeddings, vector databases, orchestration frameworks, memory/state patterns, and tool-use architectures
  • 1+ years experience building or governing LLMOps practices such as evaluation, monitoring, prompt lifecycle management, and guardrails
  • 2+ years experience leading, managing and delivering complex AI Solutions engagements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Life Science R&D AI Solutions experience
  • Experience in consulting and client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting technical content to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 to $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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