Easy Apply
Easy Apply
The Solutions Engineer role involves designing AWS-based customer experience solutions, integrating generative AI, and leading technical workshops with clients.
Role Overview
We’re seeking multiple Solutions Engineers to join our team of innovators and thought leaders. In this role, you’ll combine hands-on technical expertise with architectural vision to design and implement cutting-edge customer experience solutions using AWS services, with a particular focus on Amazon Connect and generative AI technologies.
Key Responsibilities
- Design and architect comprehensive customer experience solutions leveraging AWS services, particularly Amazon Connect, with a focus on integrating generative AI capabilities to enhance customer interactions
- Develop proof-of-concepts and prototypes to demonstrate innovative solutions to clients, showcasing the potential of combining cloud technologies with AI
- Lead technical discovery sessions and workshops with clients to understand their unique business challenges and translate them into actionable technical solutions
- Write and review code for critical components of client solutions, ensuring high standards of quality and scalability
- Create detailed technical specifications and architecture documents that align with both client requirements and AWS best practices
- Support continuous value delivery initiatives, including solution design, demonstrations, and implementation for signed customer engagements.
Required Skills & Experience
- Deep expertise in AWS services, particularly Amazon Connect and related customer experience offerings
- Hands-on experience implementing generative AI solutions in production environments
- Strong software engineering background with practical coding experience
- Proven consulting skills with the ability to communicate complex technical concepts to diverse audiences
- Experience in customer experience (CX) technology implementations
- Track record of successful solution delivery in highly regulated industries such as healthcare, finance, or government
Preferred Qualifications
- AWS certifications (Solutions Architect, Machine Learning Specialty)
- Experience with large-scale contact center migrations to cloud platforms
- Background in implementing AI/ML solutions in customer service contexts
- Knowledge of security and compliance requirements in regulated industries
- Experience with agile development methodologies
What Sets You Apart
- Ability to bridge the gap between business requirements and technical implementation
- Strong consultative approach with excellent client-facing skills
- Innovation mindset with a passion for exploring cutting-edge technologies
- Experience in both architectural design and hands-on development
- Understanding of contact center operations and customer experience best practices
Remote Pay Range
$140,000—$150,000 USD
Top Skills
Ai/Ml Solutions
Amazon Connect
AWS
Cloud Technologies
Generative Ai
Software Engineering
Similar Jobs
Fintech • Financial Services
The Branch Manager leads a team to drive business growth, enhance customer experience, manage operations, and ensure compliance with regulations. Responsibilities include coaching, resolving customer issues, and developing talent within the branch.
Big Data • Fintech • Mobile • Payments • Financial Services
As a Software Engineer II in the Credit Decisioning team, you will design and develop backend systems, collaborate with cross-functional teams, and support project delivery and operations.
Top Skills:
AWSKotlinKubernetesMySQLPython
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Curriculum Developer will design and create training materials for Falcon Complete, manage projects, and improve training programs. They will collaborate with stakeholders and enhance training based on feedback.
Top Skills:
Adobe Premiere ProArticulate360CamtasiaConfluenceDoceboJIRA
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories



