• Design, estimate cost, and propose Lightspeed communications solutions based on customer requirements • Work directly with the Global Sales Team and prospective customers’ Engineering contacts to validate requirements and technical details • Prepare, present proposals to, and review requirements directly with customers • Lead, attend, and actively participate in customer meetings • Identify new solutions within Telesat’s Lightspeed product portfolio which could lead to new revenue opportunities with customers • Work directly with customers to plan upgrades, review performance of networks, and to resolve service issues • Collaborate with Telesat’s Marketing and Product teams to identify available network capacity • Support projects from design to implementation • Update and maintain multiple databases as well as other Engineering information management systems • Actively participate in trade shows, customer events, and technical demonstrations in presentation roles

• Collaborate with account teams to evaluate and understand customers' cybersecurity technologies and needs. • Take a consultative approach to security projects and have a holistic understanding of how security technology enables business. • Develop and deliver new security services offerings to address customer requests/opportunities. • Educate sales teams on cybersecurity solution selling and key technologies through 1x1, team, and company training. • Develop collateral to assist with cybersecurity sales engagements. • Participate in self-study and independent work in lab facilities to increase job-related knowledge and skills.

We currently have a career opportunity for an Enterprise Architect to join our team. This is a remote position, must live in the United States. Job Overview: An Enterprise Architect is a senior, client‑facing leader responsible for defining, governing, and evolving the end‑to‑end technology architecture for large‑scale healthcare payer organizations. This role blends deep healthcare domain expertise with broad technical leadership, guiding clients through modernization, cloud adoption, AI enablement, and enterprise transformation. You will provide best-fit architectural solutions for one or more projects; you will assist in defining scope and sizing of work; and anchor Proof of Concept developments. You will provide solution architecture for the business problem, platform integration with third party services, designing and developing complex features for clients' business needs. You will collaborate with some of the best talent in the industry to create and implement innovative high quality solutions, participate in Sales and various pursuits focused on our clients' business needs. You will also contribute in a variety of roles in thought leadership, mentorship, systems analysis, architecture, design, configuration, testing, debugging, and documentation. You will challenge your leading edge solutions, consultative and business skills through the diversity of work in multiple industry domains. This role is considered part of the Business Unit Senior Leadership team and may mentor junior architects and other delivery team members. Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues. Perficient is the global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world’s most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what’s possible - while building a career filled with growth, balance, and purpose.

Overview At eimagine, we know that your best work happens when you live your best life and share your unique talents, so we do everything we can to be intentional in a remote enabled environment to make that possible. Recognized as a Best Places to Work since 2015, we are a team of humbly confident people who are proud of their craft, continuous learners, and have been known to cheer loudly for our teammates. For over 25 years we have been helping clients navigate technology and business change, while staying committed to delivering value & outcomes that enables their success. Due to continued growth, we are seeking an AI Solutions Architect to lead the design and delivery of scalable, enterprise-grade AI solutions that solve complex business challenges for our clients. This role operates at the intersection of technology and strategy—bringing together software engineering, data science, and machine learning to architect solutions that are not only technically sound but aligned to business outcomes. As a senior leader, you will guide clients through ambiguity, shape AI strategies, and ensure solutions are built for scale, sustainability, and measurable impact. You will play a critical role in translating emerging AI capabilities into practical, high-value applications. If you’re passionate about turning emerging technologies into real-world solutions and want to partner with clients to create meaningful business value, this could be your next step. Join us as we #eimaginebetter. Description of Duties: - Lead the design of end-to-end AI/ML solutions, ensuring scalability, reliability, and alignment with client business objectives - Translate ambiguous business challenges into clear, actionable AI strategies and solution architectures - Define and guide implementation of enterprise AI systems, including data pipelines, model development workflows, and production inference architectures - Architect scalable model-serving and distributed processing solutions that perform reliably in real-world environments - Partner with client stakeholders to shape roadmaps, prioritize initiatives, and align technology decisions with business value - Provide technical leadership across delivery teams, ensuring best practices in design, development, and deployment - Evaluate and select appropriate tools, platforms, and frameworks to meet client needs across cloud ecosystems such as Microsoft Azure, Amazon Web Services, and Google Cloud - Establish standards for performance, scalability, security, and governance across AI solutions - Analyze system performance, model behavior, and data pipelines to identify optimization opportunities and improve outcomes - Guide the responsible and ethical use of AI, including explainability, risk mitigation, and governance practices - Mentor engineers and contribute to the growth and maturity of eimagine’s AI capabilities and delivery frameworks - Stay at the forefront of emerging AI technologies and translate innovation into practical client recommendations Desired Skills & Experience - 5+ years of experience in AI, machine learning, or advanced analytics, with a strong track record in architecting and delivering enterprise solutions - Proven experience in a consulting or client-facing role, with the ability to influence stakeholders and drive strategic conversations - Deep experience designing and deploying AI/ML solutions in cloud environments such as Microsoft Azure, Amazon Web Services, or Google Cloud - Strong understanding of scalable system design, distributed processing, and production-grade AI architectures - Experience with modern ML frameworks such as PyTorch, TensorFlow, or similar tools - Experience integrating and operationalizing large language models (LLMs), including APIs such as OpenAI, Azure OpenAI, or Gemini - Familiarity with generative AI patterns such as retrieval-augmented generation (RAG) and prompt engineering in enterprise contexts - Strong foundation in data architecture, data pipelines, and data governance practices - Experience with DevOps and MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes preferred) - Proficiency in Python and the ability to guide engineering teams on implementation approaches - Exceptional problem-solving and critical thinking skills, with the ability to navigate ambiguity and make informed trade-offs - Relevant cloud or AI certifications (Azure, AWS, GCP) are a plus Education - Bachelor’s degree in information technology, computer science or equivalent job-related experience required.