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Deloitte Software Engineer Jobs in Boston, MA (NOW HIRING)

Our Deloitte Customer team empowers organizations to build deeper relationships with customers ... Recruiting for this role ends on 9/11/2026 Work You'll Do As a Lead Agentic Software Engineer II, ...

Senior Software Engineer with Secret

Boston, MA · On-site

$133K - $175K/yr

At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ... Work you'll do As a Software Engineer III on the Engineering and Delivery team, you will be ...

The Team: Deloitte's Cyber Engineering is a new team that is spearheading the buildout of ... Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join ...

Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology ... What skills or experience do I need? * 3+ years of software engineering experience building and ...

Senior Software Engineer with Secret

Boston, MA · On-site

$133K - $175K/yr

At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ... Work you'll do As a Software Engineer III on the Engineering and Delivery team, you will be ...

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Work you'll do As a Software Engineer II on the GPS Engineering as a Service team, you will be ...

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Work you'll do As a Software Engineer II on the GPS Engineering as a Service team, you will be ...

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Deloitte Software Engineer information

See Boston, MA salary details

$69K

$160.3K

$223.2K

How much do deloitte software engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for deloitte software engineer in Boston, MA is $160,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,400.00 and $187,900.00 per year, depending on experience, location, and employer.

What does a Deloitte Software Engineer do?

A Deloitte Software Engineer is responsible for designing, developing, testing, and maintaining software solutions for Deloitte’s clients across various industries. They work closely with clients and other team members to understand business requirements and translate them into technical solutions. Their tasks often include coding, troubleshooting, system integration, and implementing best practices in software development. Additionally, they may contribute to project planning and provide technical support throughout the software development lifecycle.

What are the key skills and qualifications needed to thrive as a Deloitte Software Engineer?

To thrive as a Deloitte Software Engineer, you need strong programming skills (such as Java, Python, or C#), a solid understanding of software development methodologies, and typically a bachelor's degree in computer science or a related field. Familiarity with tools like Git, cloud platforms (AWS, Azure), and frameworks (Spring, .NET) is often required, along with relevant certifications being an advantage. Strong problem-solving abilities, teamwork, and effective communication are essential soft skills for collaborating on complex projects and delivering client solutions. These competencies are crucial for building reliable, scalable software and ensuring client satisfaction in a fast-paced consulting environment.

How does a Deloitte Software Engineer typically collaborate with cross-functional teams during project development?

As a Deloitte Software Engineer, you will frequently collaborate with professionals from consulting, business analysis, and project management teams. This cross-functional approach helps ensure that software solutions align with client requirements and business objectives. You can expect to participate in regular meetings, agile sprints, and code reviews, where sharing knowledge and aligning on project goals are essential. Strong communication skills and adaptability are crucial for navigating diverse team dynamics and delivering high-quality results.

What are popular job titles related to Deloitte Software Engineer jobs in Boston, MA?

For Deloitte Software Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Deloitte Software Engineer jobs in Boston, MA look for?

The top searched job categories for Deloitte Software Engineer jobs in Boston, MA are:

Infographic showing various Deloitte Software Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $160,270 per year, or $77.1 per hour.

Lead Agentic Software Engineer II

Boston, MA • On-site


Deloitte
Finance and Insurance • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Good employer

Recommended by students

Paid breaks


Full-time

Posted 4 days ago


Job description

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 9/11/2026

Work You'll Do

As a Lead Agentic Software Engineer II, you will be responsible for:

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs
  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows
  • Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets
  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems
  • Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact
  • Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a technical field
  • 6+ years of experience architecting, designing, building, testing, and deploying production, operational, or client-facing technology solutions in software engineering, DevOps, site reliability engineering, quality engineering, or software development life cycle (SDLC) delivery roles
  • 6+ years of experience developing applications, services, or automation using one or more programming languages, including Python, JavaScript, or Java
  • 3+ years of experience leading code reviews, reviewing technical deliverables for alignment with documented requirements, and mentoring or providing day-to-day technical guidance to junior engineers
  • 3+ years of experience building, deploying, and supporting cloud-native applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 1+ years of experience architecting, building, deploying, or supporting generative artificial intelligence (AI), large language model (LLM), or agentic application solutions in production, enterprise, or client-facing environments
  • 1+ years of experience implementing LLM orchestration, prompt workflows, tool use or function calling, retrieval-augmented generation (RAG), or multi-agent workflows in application delivery
  • Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

  • Master's degree
  • Government consulting experience
  • 1+ years of experience integrating model platforms or application programming interfaces (APIs), including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI, into enterprise applications or workflows
  • 1+ years of experience establishing evaluation, testing, monitoring, or guardrail mechanisms for generative AI or agentic systems, including output quality, reliability, latency, or safety controls
  • 1+ years of experience implementing containerization, continuous integration and continuous deployment (CI/CD), infrastructure as code, or deployment automation
  • 1+ years of experience leading delivery in Agile environments, including backlog refinement, sprint planning, sprint execution, and iterative release delivery

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 $128,000 to $252,500. 

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:

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 9/11/2026

Work You'll Do

As a Lead Agentic Software Engineer II, you will be responsible for:

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs
  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows
  • Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets
  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems
  • Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact
  • Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a technical field
  • 6+ years of experience architecting, designing, building, testing, and deploying production, operational, or client-facing technology solutions in software engineering, DevOps, site reliability engineering, quality engineering, or software development life cycle (SDLC) delivery roles
  • 6+ years of experience developing applications, services, or automation using one or more programming languages, including Python, JavaScript, or Java
  • 3+ years of experience leading code reviews, reviewing technical deliverables for alignment with documented requirements, and mentoring or providing day-to-day technical guidance to junior engineers
  • 3+ years of experience building, deploying, and supporting cloud-native applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 1+ years of experience architecting, building, deploying, or supporting generative artificial intelligence (AI), large language model (LLM), or agentic application solutions in production, enterprise, or client-facing environments
  • 1+ years of experience implementing LLM orchestration, prompt workflows, tool use or function calling, retrieval-augmented generation (RAG), or multi-agent workflows in application delivery
  • Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

  • Master's degree
  • Government consulting experience
  • 1+ years of experience integrating model platforms or application programming interfaces (APIs), including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI, into enterprise applications or workflows
  • 1+ years of experience establishing evaluation, testing, monitoring, or guardrail mechanisms for generative AI or agentic systems, including output quality, reliability, latency, or safety controls
  • 1+ years of experience implementing containerization, continuous integration and continuous deployment (CI/CD), infrastructure as code, or deployment automation
  • 1+ years of experience leading delivery in Agile environments, including backlog refinement, sprint planning, sprint execution, and iterative release delivery

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 $128,000 to $252,500. 

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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