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
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
You will upgrade blockchain nodes, automate processes to enhance service effectiveness, and identify investment areas for further automation.
Top Skills:
AutomationBlockchainIntegration TestingService Oriented Architecture
Healthtech • Software
The Lead Analytics Engineer will design and implement data models, standardize semantic layers, enhance data quality, and mentor other engineers while ensuring compliance with healthcare standards.
Top Skills:
AWSDbtEmrGlueIcebergParquetS3SparkSQL
Fintech • Software • Financial Services
The Product Manager II will oversee the development of tax products, collaborating with teams, managing roadmaps, and ensuring timely delivery through Agile methodologies.
Top Skills:
Agile MethodologiesAi ToolsApi StandardsConfluenceJIRA
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

.png)

.png)